The realm of Internet of Things (IoT) has opened doors to a world of interconnected possibilities. Within this collection of 100 IoT project titles, we explore diverse domains where IoT’s transformative potential can be harnessed. From smart homes to environmental monitoring, each project represents an opportunity to innovate and shape a better, interconnected future. Throughout this journey, I’ll be your mentor, guiding you in creating impactful IoT solutions that make a positive difference. Let’s embark on this exciting adventure together!

100 Exciting IoT Project Ideas for a Smarter World

1. Smart Home Energy Monitor: Implement a system to monitor and optimize energy usage in a smart home, providing real-time insights and control over energy-consuming devices.
2. Agriculture IoT for Crop Monitoring: Deploy sensors and actuators in farms to monitor soil moisture, temperature, and automate irrigation for improved crop yield.
3. Smart City Waste Management: Create a waste management system with smart bins equipped with fill-level sensors to optimize waste collection routes and reduce costs.
4. Industrial Predictive Maintenance: Use IoT sensors to collect data from machinery, enabling predictive maintenance to reduce downtime and increase equipment efficiency.
5. Smart Water Quality Monitoring: Develop a system to monitor water quality in lakes and rivers, providing early warnings for pollution and environmental changes.
6. Connected Vehicle Fleet Management: Track vehicle locations, monitor fuel consumption, and optimize routes in a fleet management solution for transportation companies.
7. Healthcare Wearable for Remote Patient Monitoring: Design a wearable device to monitor patients’ vital signs and send real-time data to healthcare providers for remote patient monitoring.
8. Environmental Air Quality Monitoring: Deploy IoT sensors to monitor air quality and provide real-time pollution data for urban areas.
9. Smart Irrigation System for Gardens: Build an automated irrigation system for home gardens using IoT sensors to optimize water usage based on soil moisture and weather conditions.
10. Home Security and Surveillance System: Develop a smart home security system with IoT cameras, motion detectors, and alarms, controllable via a mobile app.
11. Aquaponics Monitoring and Automation: Create an IoT solution to monitor and control aquaponics systems for efficient fish and plant cultivation.
12. Smart Parking Management: Design a system to detect and manage available parking spaces, reducing traffic congestion and providing parking availability information.
13. Asset Tracking and Management: Implement IoT-based asset tracking for businesses to monitor the location and condition of valuable assets.
14. Precision Farming with Drones: Use drones equipped with IoT sensors to monitor crops and apply targeted treatments, reducing resource wastage.
15. IoT-Based Home Automation: Create a centralized IoT platform to control various home devices like lights, appliances, and thermostats.
16. Elderly Care Assistance: Develop an IoT-based system to monitor the well-being of elderly individuals and provide assistance when needed.
17. Smart Water Metering: Implement smart water meters to track water consumption and enable efficient billing for utilities.
18. Waste Recycling Management: Integrate IoT sensors into recycling bins to incentivize and monitor recycling behavior in communities.
19. Indoor Air Quality Monitoring: Build a system to monitor indoor air quality in buildings and homes, providing alerts and suggestions for improved ventilation.
20. Livestock Tracking and Health Monitoring: Use IoT devices to track livestock, monitor their health, and detect early signs of diseases.
21. Smart Weather Station: Create a weather station using IoT sensors to measure temperature, humidity, wind speed, and rainfall.
22. Smart Street Lighting: Design an intelligent street lighting system that adapts brightness based on traffic and weather conditions.
23. Real-time Inventory Management: Implement an IoT-based inventory system for businesses to track stock levels and automate reordering processes.
24. IoT-Based Water Leak Detection: Deploy sensors to detect and prevent water leaks in residential and commercial buildings, reducing water wastage.
25. Smart Waste Bin for Recyclables: Build a smart waste bin with separate compartments for recyclables and non-recyclables, encouraging proper waste disposal.
26. Smart Home Security with Facial Recognition: Integrate facial recognition technology into a home security system for enhanced identity verification.
27. Smart Energy Harvesting System: Develop an IoT solution to harvest and store energy from renewable sources for powering remote devices.
28. Precision Livestock Farming: Use IoT sensors to monitor livestock health, behavior, and growth in livestock farming operations.
29. IoT-Based Food Quality Monitoring: Deploy sensors to monitor the quality and freshness of perishable food items during transportation and storage.
30. Water Conservation in Agriculture: Implement IoT-based irrigation systems that optimize water usage in agricultural fields.
31. Asset Condition Monitoring for Railways: Monitor the condition of railway assets, such as tracks and bridges, using IoT sensors for timely maintenance.
32. Connected Bike-Sharing System: Create an IoT-based bike-sharing system with GPS tracking and user management for urban mobility.
33. Energy-Efficient Smart Lighting: Design a smart lighting system that automatically adjusts brightness based on occupancy and natural light.
34. Smart Garbage Collection Bins: Deploy smart bins with fill-level sensors to optimize garbage collection routes and reduce littering.
35. Home Hydroponics Automation: Create an IoT-based hydroponics system for automated plant cultivation at home.
36. IoT-Based Air Pollution Mitigation: Use IoT devices to monitor pollution levels and implement actions like traffic redirection or air purifiers.
37. Smart Metering for Gas Utilities: Implement smart meters for monitoring and billing gas consumption in homes and businesses.
38. IoT for Water Conservation in Smart Cities: Develop a city-wide water conservation system with sensors and actuators to optimize water usage.
39. Autonomous Greenhouse Farming: Create an IoT-based greenhouse that adjusts environmental conditions for optimal plant growth.
40. Smart Shopping Cart for Retail: Design a connected shopping cart that helps customers locate items and streamline checkout.
41. Real-time Livestock Tracking: Use GPS-enabled IoT devices to track the location and movements of livestock in extensive grazing areas.
42. Smart Waste Sorting System: Build an IoT-based waste sorting system that automatically separates recyclables from non-recyclables.
43. Smart Office Energy Management: Implement an energy management system for offices, optimizing lighting, heating, and cooling based on occupancy.
44. Indoor Navigation for the Visually Impaired: Develop an IoT-based indoor navigation system to assist visually impaired individuals in public places.
45. Automated Plant Watering with IoT: Create a system that waters plants based on soil moisture levels and weather forecasts.
46. Waste-to-Energy Conversion System: Develop an IoT-based waste-to-energy conversion system to produce electricity or biofuel from organic waste.
47. IoT-Based Fire Detection and Prevention: Deploy sensors to detect smoke and temperature changes for early fire detection and prevention.
48. Smart Vending Machines: Implement IoT technology in vending machines for real-time inventory monitoring and cashless payments.
49. Connected Air Purification System: Design an IoT-enabled air purifier that adjusts purification settings based on air quality.
50. IoT-Based Asset Security System: Build an asset security system with IoT sensors to detect unauthorized access or tampering.
51. Smart Watering System for Urban Gardens: Implement an automated watering system for urban gardens using IoT sensors and weather data.
52. IoT-Based Gas Leak Detection: Deploy gas sensors to detect leaks in homes and businesses, triggering alerts and shutting off supply.
53. Wildlife Tracking and Conservation: Use IoT devices to track and study wildlife movements and behaviors for conservation purposes.
54. Smart Energy Management for Industrial Plants: Develop an IoT system to optimize energy consumption and monitor equipment in industrial facilities.
55. Water Pollution Monitoring in Rivers: Implement a network of IoT sensors to monitor water quality and pollution levels in rivers.
56. Connected Public Transportation System: Create a connected public transportation system with real-time tracking and passenger information.
57. IoT-Based Fitness and Health Tracker: Design a wearable IoT device to track fitness metrics and health parameters for users.
58. Smart Building Access Control: Implement an IoT-based access control system for buildings, using biometrics or mobile authentication.
59. Waste Reduction in Hospitality Industry: Develop an IoT solution to monitor and reduce food waste in hotels and restaurants.
60. Smart Fridge for Food Management: Create a smart refrigerator that tracks food expiry dates and sends notifications for restocking.
61. IoT-Based Noise Pollution Monitoring: Deploy noise sensors in urban areas to monitor noise pollution and analyze patterns.
62. Connected Streetlights for Safety: Design smart streetlights that brighten based on pedestrian and vehicle movement.
63. IoT-Based Air Conditioning System: Create a smart AC system that adjusts cooling based on occupancy and weather conditions.
64. Home Gardening Assistance: Implement an IoT system to provide gardening tips and reminders for home gardeners.
65. Water Consumption Monitoring in Industries: Develop an IoT solution to track and optimize water usage in industrial processes.
66. Connected Waste Recycling Rewards: Create an IoT-based system that rewards individuals for recycling through a point system.
67. IoT-Based Inventory Control for Retailers: Implement an automated inventory management system for retailers to reduce stockouts and overstocking.
68. Smart Sports Equipment: Develop IoT-enabled sports equipment that provides performance data and training insights.
69. IoT-Based Pest Control in Agriculture: Use IoT devices to monitor and control pests in agricultural fields, reducing the need for pesticides.
70. Smart Office Space Utilization: Implement an IoT system to optimize office space usage and facilitate flexible working arrangements.
71. Water Leak Detection in Data Centers: Deploy IoT sensors to detect water leaks in critical infrastructure like data centers.
72. Smart Waste Management in Theme Parks: Create an IoT-based waste management system to handle high waste volumes in theme parks.
73. IoT-Based Wildfire Prevention: Implement a system that uses IoT sensors to detect potential wildfire conditions and alert authorities.
74. Connected Pet Care Devices: Design IoT-based devices to monitor and care for pets remotely, including feeders and health trackers.
75. Smart Grid Energy Distribution: Implement IoT technology in the power grid to manage electricity distribution efficiently.
76. Remote Agriculture Monitoring for Farmers: Develop an IoT platform to monitor crops, livestock, and weather conditions remotely for farmers.
77. IoT-Based Air Quality Improvement: Implement IoT devices to monitor and manage indoor air quality, adjusting ventilation and purifiers.
78. Connected Smart Locks: Design smart locks that can be controlled remotely through a mobile app or voice commands.
79. Smart Waste Disposal System for Airports: Create an IoT-based waste disposal system for airports to efficiently manage waste from travelers.
80. Industrial Safety Monitoring: Implement IoT sensors to monitor workplace conditions and ensure employee safety in industries.
81. IoT-Based Real-time Parking Guidance: Develop a system that guides drivers to available parking spots in busy areas using IoT sensors.
82. Connected Energy-Efficient Appliances: Design household appliances that communicate with each other to optimize energy usage.
83. IoT-Based Smart Agriculture Marketplaces: Create an online platform that connects farmers with buyers for agricultural products using IoT data.
84. Smart Gas Cylinder Management: Implement IoT-enabled gas cylinders that track usage and notify users when a refill is needed.
85. Waste Management for Event Venues: Develop an IoT-based waste management system to handle large volumes of waste during events.
86. IoT-Based E-Waste Recycling: Implement a system to track and manage electronic waste recycling in cities.
87. Smart Water Purification System: Create an IoT-based water purification system that adjusts filtration based on water quality.
88. Precision Medicine with IoT Devices: Use IoT health devices to collect data for personalized medicine and treatment plans.
89. IoT-Based Parking Reservation System: Develop a system that allows users to reserve parking spaces in advance using IoT technology.
90. Smart Traffic Light Control: Implement an IoT system that optimizes traffic light timings based on traffic flow and congestion.
91. Connected Waste Management for Smart Apartments: Design an IoT-based waste management system for apartment complexes to encourage recycling.
92. IoT-Based Safety Gear for Construction Workers: Develop wearable IoT devices to monitor construction workers’ safety and health on-site.
93. Smart Music and Entertainment Systems: Create IoT-based entertainment systems that synchronize audio and lighting for immersive experiences.
94. IoT-Based Parcel Delivery Tracking: Implement a system to track and manage parcel delivery through IoT-enabled devices.
95. Connected Water Conservation in Schools: Develop an IoT system to promote water conservation in educational institutions.
96. IoT for Intelligent Traffic Management: Implement IoT sensors and data analytics to manage and optimize traffic flow in cities.
97. Smart Inventory Control for Pharmacies: Develop an IoT-based inventory management system for pharmacies to track medication stocks.
98. IoT-Based Automated Farming: Create a fully automated farming system that uses IoT technology to manage every aspect of farming.
99. Connected Waste Management for Tourist Attractions: Implement an IoT-based waste management system for tourist spots and attractions.
100. IoT-Based Emergency Response System: Design a system that uses IoT devices to enhance emergency response and improve public safety.

These project titles span various domains, from smart homes and agriculture to healthcare, industry, and environmental monitoring. Feel free to choose any topic that interests you the most, and I’ll be here to support you throughout your IoT project journey. Good luck!

The post 100 IoT Project Titles appeared first on iLovePhD.

The Internet of Things(IoT) is an emerging technology, which got huge attention among new business model creators and researchers. As part of ilovephd‘s research, future technology, and innovative idea recommendation, this article finds outs the top 10 SCI indexed Internet of Things Journals with a high impact factor to pursue ongoing groundbreaking research. 

Top 20 IoT Journals 2023

1. IEEE Internet of Things Journal
2. IEEE Transactions on Industrial Informatics
3. IEEE Transactions on Cognitive Communications and Networking
4. IEEE Transactions on Network and Service Management
5. IEEE Transactions on Mobile Computing
6. IEEE Transactions on Cloud Computing
7. IEEE Transactions on Big Data
8. IEEE Internet of Things Magazine
9. IEEE Communications Magazine
10. IEEE Access
11. IEEE Systems Journal
12. IEEE Communications Surveys & Tutorials
13. IEEE Transactions on Emerging Topics in Computing
14. IEEE Transactions on Services Computing
15. IEEE Transactions on Computers
16. IEEE Transactions on Network Science and Engineering
17. IEEE Transactions on Automation Science and Engineering
18. IEEE Transactions on Industrial Electronics
19. IEEE Transactions on Dependable and Secure Computing
20. IEEE Transactions on Computational Social Systems

Top IoT Journals

1. IEEE – Internet of Things Journal

IEEE Internet of Things (IoT) Journal publishes articles on the latest advances, as well as review articles, on the various aspects of IoT. Topics include IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Examples are IoT demands, impacts, and implications on sensors technologies, big data management, and future Internet design for various IoT use cases, such as smart cities, smart environments, smart homes, etc. The fields of interest include IoT architecture such as things-centric, data-centric, and service-oriented IoT architectures, IoT enabling technologies and systems integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments, IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.

2. Elsevier – Internet of Things

Internet of Things; Engineering Cyber-Physical Human Systems is a comprehensive journal encouraging cross-collaboration between researchers, engineers, and practitioners in the field of IoT & Cyber-Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.

3. Inderscience –  International Journal of Internet of Things and Cyber-Assurance

The Internet of Things must address the reliable and timely delivery of information, regardless of cyber threats, using secure automatic processes over distributed and heterogeneous computing systems. IJITCA provides an embedded security, information assurance, and cyber-security research perspective, illustrating how cyber-assurance must integrate with IoT devices and networks to understand how these individual components interact in ways to resist and avoid intentional attempts to compromise normal operations. IJITCA addresses the protection of IoT networks from mobile devices to complex processing systems.

4. IEEE – Wireless Communications

IEEE Wireless Communications is designed for audiences working in wireless communications and networking communities. It covers technical, policy, and standard issues relating to wireless communications in all media (and combinations of media), and at all protocol layers. All wireless/mobile communications, networking, computing, and services will be covered. Each issue of this interdisciplinary magazine provides tutorial articles of high quality and depth concerning the revolutionary technological advances in wireless/mobile communications, networking, and computing.

5. IEEE – Transactions on Wireless Communications

The IEEE Transactions on Wireless Communications is a major archival journal that is committed to the timely publication of very high-quality, peer-reviewed, original papers that advance the theory and applications of wireless communication systems and networks.

6. Springer – Wireless Networks (SpringerNature)

The wireless communication revolution is bringing fundamental changes to data networking, and telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LANs, mobile radio networks, and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere.

7. Wiley – Information Systems Journal

The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues, and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual, and management issues, based on research using appropriate research methods.

8. IGI Global – International Journal of Hyperconnectivity and the Internet of Things (IJHIoT)

The International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) promotes innovative, interesting, and rigorously developed conceptual and empirical contributions and encourages theory-based multi- or inter-disciplinary research. This journal covers topics relating to IoT and the current age of hyperconnectivity including security concerns, applications of IoT, development, and management of the IoT, wearable computing, IoT for home automation, smart cities, and other environments.

9. IGI Global – Protocols and Applications for the Industrial Internet of Things

The Internet of Things (IoT) has become a major influence on the development of new technologies and innovations. When utilized properly, these applications can enhance business functions and make them easier to perform.  Protocols and Applications for the Industrial Internet of Things discuss and address the difficulties, challenges, and applications of IoT in industrial processes and production and work life. Featuring coverage on a broad range of topics such as industrial process control, machine learning, and data mining, this book is geared toward academicians, computer engineers, students, researchers, and professionals seeking current and relevant research on applications of the IoT.

10. MDPI – Sensors — Open Access Journal

“Sensors” is the leading international peer-reviewed open access journal on the science and technology of sensors and biosensors. Sensors are published monthly online by MDPI.

You Might Also Love

List of Non-Paid SCI and Scopus Indexed Computer Science Engineering Journals

The post Top 20 Internet of Things (IoT) Journals – 2023 appeared first on iLovePhD.

IoT Research Topics: The Internet of Things (IoT) is the network of physical objects—devices, vehicles, buildings, and other items embedded with electronics, software, sensors, and network connectivity—that enables these objects to collect and exchange data. Here things are uniquely identifiable nodes, primarily sensors that communicate without human interaction using IP connectivity.

A thing in IoT can be anything with sensors and internet connections. (Wrist Watch, Sunglass, TV, Car-Key, etc.) All these devices collect an enormous amount of data from every person and store it.

Once data is collected, all the data from IoT devices are transferred to data analysis, as a result of this process some useful in-depth personal recommendations will be generated also which will lead to a smart and efficient life.

In this article, ilovephd provides open research areas in Internet of Things research topics.

IoT Research Topics 2023

Since IoT is in the initial stage of development there are plenty of research opportunities available. The following are some of the key research issues in IoT

• Naming and Addressing: Advertising, Searching, and Discovery
• Service Orchestration and Routing
• Power, Energy, Efficient resource management, and Energy Harvesting
• Things to Cloud: Computation and Communication Gateways
• Miniaturization: Sensors, CPU, and network
• Big Data Analytics: 35 ZB of data $2B in value by 2023
• Semantic technologies: Information and data models for interoperability
• Virtualization: Multiple sensors aggregated, or a sensor shared by multiple users
• Privacy/Security/Trust/Identity/Anonymity Target Pregnancy Prediction
• Heterogeneity/Dynamics/Scale is the open research topics in IoT.

Top 20 Internet of Things IoT Research Ideas 2023

1. Investigating the Potential of AI-Based Automation for IoT-Enabled Smart Homes
2. Exploring the Impact of 5G Networks on the Internet of Things
3. Developing Secure and Scalable IoT-Based Solutions for Smart Cities
4. Researching the Potential of Blockchain Technology for Securing IoT Networks
5. Investigating the Role of Edge Computing in the Internet of Things
6. Examining the Impact of IoT on Wearable Technology
7. Exploring the Use of IoT for Automated Vehicle Management
8. Investigating the Potential of IoT for Smart Agriculture
9. Examining the Use of IoT for Smart Manufacturing
10. Investigating the Potential of IoT for Smart Healthcare Solutions
11. Exploring the Role of IoT in Smart Energy Management
12. Investigating the Use of IoT for Smart Retail Solutions
13. Examining the Impact of IoT on Smart Home Security
14. Exploring the Role of IoT in Smart Logistics
15. Investigating the Use of IoT for Smart Waste Management
16. Examining the Potential of IoT for Smart Water Management
17. Exploring the Role of IoT in Smart Mobility Solutions
18. Investigating the Use of IoT for Smart Education Solutions
19. Examining the Impact of IoT on Smart Tourism Solutions
20. Exploring the Role of IoT in Smart Air Quality Monitoring

Generalized Open IoT Research Topics

IoT Enabling Technologies

• 5G Networks and IoT
• IoT Security and Trust
• IoT and Personal Data Protection
• Artificial Intelligence and IoT
• IoT Large-Scale Pilots and Portability
• IoT Interoperability and Multi-Platform Integration
• Software-Defined Networks (SDN), Network Function Virtualization (NFV) and IoT
• Sensor and Actuator Networks
• IoT Protocols and Standards (IPv6, 6LoWPAN, RPL, 6TiSCH, WoT, oneM2M, etc.)
• Ultra-low-power IoT Technologies and Embedded Systems Architectures
• Wearables, Body Sensor Networks, Smart Portable Devices
• Design Space Exploration Techniques for IoT Devices and Systems
• Heterogeneous Networks, Web of Things, Web of Everything
• Named Data Networking for IoT
• Internet of Nano Things
• Sensors Data Management, IoT Mining and Analytics
• Adaptive Systems and Models at Runtime
• Distributed Storage, Data Fusion
• Routing and Control Protocols
• Resource Management, Access Control
• Mobility, Localization and Management Aspects
• Identity Management and Object Recognition
• Localization Technologies
• Edge Computing, Fog Computing and IoT
• Machine to Machine (M2M)/Devices-to-Devices communications and IoT
• Industrial IoT and Factory of Things and the Internet of Things

IoT Applications, Services, and Real Implementations

• Smart Cities, Smart Public Places, and Smart Environments
• Smart Home, and IoT-based Building Automation
• Smart Agriculture and Water Management
• Smart factories and Industry 4.0
• e-Health, Assisted Living and e-Wellness
• Automotive, Intelligent Transport
• IoT-based Supply Chains
• Smart Grid, Energy Management
• Wearables
• Cyber-physical systems, Context Awareness, Situation Awareness, Ambient Intelligence
• Collaborative Applications and Systems
• Service Experiences and Analysis
• Consumer Electronics, Assisted Living, Rural Services and Production
• Industrial IoT Service Creation and Management Aspects
• Crowd-sensing, human-centric sensing
• Big data and IoT Data Analytics
• IoT and AI techniques
• Internet Applications Naming and Identifiers
• Semantic Technologies, Collective Intelligence
• Cognitive and Reasoning about Things and Smart Objects
• Mobile Cloud Computing (MCC) and IoT
• Horizontal application development for IoT
• Design principals and best practices for IoT application development

End-user and Human-Centric IoT, including IoT Multimedia, Societal Impacts and Sustainable Development

• Human Role in the IoT, Social Aspects and Services
• Value Chain Analysis and Evolution Aspects
• New Human-Device Interactions for IoT, Do-It-Yourself
• Social Models and Networks
• IoT and Arts
• Green IoT: Sustainable Design and Technologies
• Urban Dynamics and crowdsourcing services
• Metrics, Measurements, and Evaluation of IoT Sustainability and Roi

IoT Security, Privacy and Data Protection

• IoT and blockchain
• Artificial Intelligence-based security and data protection
• IoT Privacy, data protection and Security Concerns
• IoT Privacy and Security Tests, Certification, and Labelling
• Security and Data protection risk analysis and mitigation
• Identification and Authentication Issues
• Wireless Sensor Network for IoT Security
• Intrusion Detection in IoT
• Cryptography, Key Management, Authentication and Authorization for IoT
• Physical/MAC/Network Attacks on the Internet of Things
• Cross-layer Attacks in IoT
• Security with QoS Optimization in IoT
• Privacy based Channel Access in IoT
• IoT Forensic Science
• Big Data and Information Integrity in IoT
• Communication Security in IoT
• Security Standards in IoT

IoT Pilots, Testbeds, and Experimentation Results

• Large-scale pilots on IoT
• IoT testbeds and testing tools
• Closing the Gap between Research and Implementation
• Experimental prototypes, Testbed, and Field Trial Experiences
• Multi-Objective IoT System Modeling and Analysis—Performance, Energy, Reliability, Robustness
• IoT Interconnections Analysis—QoS, Scalability, Performance, Interference
• Real-case deployment scenarios and results
• IoT Deployment at Government and ISPs
• IoT Deployment in Agriculture, Retail, Smart Cities, etc.
• IoT Interconnections among ISPs Analysis—QoS, Scalability, Performance, Interference
• Gaps Analysis for Real Deployment
• IoT and Future Internet Architectures
• Standardization and Regulation

Top 50 IoT Project Topics and Research Ideas

1. Security and Privacy in the Internet of Things
2. Machine Learning for IoT Applications
3. Edge Computing for IoT
4. Connected Devices and Smart Homes
5. Autonomous Vehicles and the IoT
6. Big Data Analytics for IoT
7. Cloud Computing for IoT
8. Wearable Technology and IoT
9. Real-Time Monitoring of IoT Devices
10. 5G Networks and the IoT
11. Artificial Intelligence and the IoT
12. Blockchain and the IoT
13. Network Protocols for IoT
14. Low-Power Networks for IoT
15. Wireless Sensor Networks and IoT
16. Smart City Applications and IoT
17. Industrial Internet of Things
18. Augmented Reality and IoT
19. Smart Grid and IoT
20. Predictive Maintenance and IoT
21. Location-Based Services and IoT
22. Voice-Enabled IoT Applications
23. Home Automation and IoT
24. Smart Retail and IoT
25. Connected Health and IoT
26. Smart Farming and IoT
27. Autonomous Robotics and IoT
28. Smart Manufacturing and IoT
29. Connected Cars and IoT
30. Smart Energy and IoT
31. Smart Water Management and IoT
32. Smart Buildings and IoT
33. Smart Waste Management and IoT
34. Smart Lighting and IoT
35. Smart Education and IoT
36. Smart Tourism and IoT
37. Smart Transportation and IoT
38. Smart Logistics and IoT
39. Smart Environment and IoT
40. Smart Government and IoT
41. Smart Agriculture and IoT
42. Smart Security and IoT
43. Smart Metering and IoT
44. Smart Textiles and IoT
45. Smart Retail Analytics and IoT
46. Smart Healthcare Analytics and IoT
47. Smart City Analytics and IoT
48. Smart Home Analytics and IoT
49. Smart Grid Analytics and IoT
50. Smart Manufacturing Analytics and IoT

IoT Implementation and Testing requirements

Top 10 Internet of Things(IoT) Journals

The post IoT Research Topics 2023 appeared first on iLovePhD.

What is the difference between WSN and IoT?

• WSN: Things (sensor nodes) connected without a wire to gather some data.

• IOT: WSN+Any physical object(Thing)+IP address+ Internet + App + Cloud computing+ etc…

In this article, we have explained the 10 important differences between wireless sensor networks and the Internet of things in detail.

Wireless sensor network (WSN):

• • A wireless sensor network (WSN) refers to a group of dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location.

The Internet of things (IoT)

1. 1. The Internet of things (IoT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data.
   2. Each thing is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure.

All sensor data is further processed and analyzed in the data analyzing area.

10 Differences Between Wireless Sensor Networks (WSN) and the Internet of Things (IoT)

• Wireless Sensor Networks (WSN) are used to monitor and collect data from physical or environmental conditions.
  • Whereas the Internet of Things is used to connect devices and objects to the internet so they can communicate with each other and exchange data.
• Wireless sensor networks typically consist of a large number of small, low-power sensors that wirelessly transmit data to a central base station
  • whereas the Internet of Things (IoT) typically consists of a smaller number of devices that are connected to the internet via wired or wireless connections.
• Wireless sensor networks are often used for monitoring purposes in difficult or dangerous environments.
  • whereas the Internet of Things is used to connect a variety of devices and objects in more everyday settings.
• Wireless sensor networks are often designed to operate in specific environments for a specific purpose.
  • whereas the Internet of Things is designed to be more general and versatile.
• Wireless sensor networks often use proprietary protocols and technologies
  • whereas the Internet of Things relies on standard protocols such as TCP/IP.
• Wireless sensor networks are typically deployed and operated by a single organization.
  • whereas the Internet of Things is more decentralized, with a variety of organizations and individuals involved.
• Wireless sensor networks are often closed systems, with data being collected and used by the deploying organization
  • whereas the Internet of Things is more open, with data being shared and used by a variety of organizations and individuals.
• Wireless sensor networks are typically static, with sensors being deployed in a specific location and remaining in that location
  • whereas the Internet of Things is more dynamic, with devices and objects being moved around and connected to different networks.
• Wireless sensor networks are typically used for data collection and monitoring.
  • whereas the Internet of Things is used for a variety of purposes, including data collection, monitoring, control, and communication.
• The wireless sensor network market is still emerging
  • whereas the Internet of Things market is more mature.

I hope, this article would help you to know about the 10 main differences between WSN and the IoT.

Top 10 Internet of Things(IoT) Journals

The post What is the difference between WSN and IOT? appeared first on iLovePhD.

Machine learning(ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. ML is also called the subset of artificial intelligence(AI). There are many high impact factor machine learning journals accepts and publishes articles which making claims about machine learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena.

In this article, ilovephd provides top 12 machine learning journals with impact factor details.

Check: What is Machine Learning?

1. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)| Impact Factor: 17.730

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present the most important research results in areas within TPAMI’s scope.

The articles in this journal are peer-reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). Each published article was reviewed by a minimum of two independent reviewers using a single-blind peer-review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance.

2. Pattern Recognition| Impact Factor: 5.898 

Pattern Recognition is the official journal of the Pattern Recognition Society. The Society was formed to fill a need for information exchange among research workers in the pattern recognition field.

Up to now, we ‘pattern-recognitionophiles’ have been tagging along in computer science, information theory, optical processing techniques, and other miscellaneous fields. Because this work in pattern recognition presently appears in widely spread articles and as isolated lectures in conferences in many diverse areas, the purpose of the journal Pattern Recognition is to give all of us an opportunity to get together in one place to publish our work.

The journal will thereby expedite communication among research scientists interested in pattern recognition.

3. Journal of Machine Learning Research(JMLR)| Impact Factor: 4.091

The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online.

JMLR has a commitment to rigorous yet rapid reviewing. JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with the justification of theoretical, psychological, or biological nature.

Coverage includes:

Experimental and/or theoretical studies yielding new insight into the design and behaviour of learning in intelligent systems; accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods.

Formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks.

Development of new analytical frameworks that advance theoretical studies of practical learning methods.

Computational models of data from natural learning systems at the behavioural or neural level; or extremely well-written surveys of existing work.

4. International Journal of Computer Vision| Impact Factor: 6.071 | Machine Learning Journals

International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.

Coverage includes:

Machine Learning Journals: Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.

Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more.

Connections with human perception: computational and architectural aspects of human vision.

The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.

5. IEEE Transactions on Fuzzy Systems (TFS) | Impact Factor: 8.759

The IEEE Transactions on Fuzzy Systems (TFS) is published quarterly.

TFS will consider papers that deal with the theory, design or an application of fuzzy systems ranging from hardware to software.

Authors are encouraged to submit articles, which disclose significant technical achievements, exploratory developments, or performance studies of fielded systems based on fuzzy models. Emphasis will be given to engineering applications.

6. Expert Systems with Applications | Impact Factor: 4.292 | Machine Learning Journals

Expert Systems With Applications has an open access mirror journal (Expert Systems with Applications: X), sharing the same aims and scope, editorial team, submission system and rigorous peer review.

Expert Systems With Applications is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide.

The thrust of the journal is to publish papers dealing with the design, development, testing, implementation, and/or management of expert and intelligent systems, and also to provide practical guidelines in the development and management of these systems.

Coverage includes:

The journal will publish papers in expert and intelligent systems technology and application in the areas of, but not limited to:

Finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, medicine, chemistry, human resources management, human capital, business, production management, archaeology, economics, energy, and defense. Papers in multi-agent systems, knowledge management, neural networks, knowledge discovery, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal.

Check: What are the types of Machine Learning?

7. Information Sciences | Impact Factor: 5.524 |Machine Learning Journals

Information Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time.

The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the-art research activities in information, knowledge engineering and intelligent systems.

Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry.

The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.

8. Fuzzy Sets and Systems| Impact Factor: 2.907

Official Publication of the International Fuzzy Systems Association (IFSA). Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems.

The theory of fuzzy sets now encompasses a well-organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers.

Fuzzy sets are also the cornerstone of non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modelling: fuzzy rule-based systems.

9. International Journal of Robotics Research(IJRR)| Impact Factor: 6.134

The International Journal of Robotics Research (IJRR) was the first scholarly publication on robotics research.

IJRR offers incisive and thought-provoking original research papers and articles, perceptive reviews, and lively editorials on ground-breaking trends issues, technical developments, and theories in robotics by the outstanding scholars and practitioners in the field. The Journal covers more than just narrow technical advances-it embraces a wide variety of topics.

Consistently ranked in the top 3 in its category of the Thomson Scientific JCR, IJRR publishes scholarly articles that provide engineers, researchers, and scientists with the very best of current research on robotics research – from applied mathematics to artificial intelligence to computer science, to electrical and mechanical engineering.

IJRR also publishes high quality, peer-reviewed datasets and multimedia extensions alongside articles. This journal is a member of the Committee on Publication Ethics (COPE).

10. Pattern Recognition Letters| Impact Factor: 2.810

Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.
Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:

• Statistical, structural, syntactic pattern recognition;
• Neural networks, machine learning, data mining;
• Discrete geometry, algebraic, graph-based techniques for pattern recognition;
• Signal analysis, image coding and processing, shape and texture analysis;
• Computer vision, robotics, remote sensing;
• Document processing, text and graphics recognition, digital libraries;
• Speech recognition, music analysis, multimedia systems;
• Natural language analysis, information retrieval;
• Biometrics, biomedical pattern analysis and information systems;
• Special hardware architectures, software packages for pattern recognition.

We invite contributions as research reports or commentaries.

Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.
Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.

11. Journal of Artificial Intelligence(AIJ)| Impact Factor: 4.483

The Journal of Artificial Intelligence (AIJ), which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to:

• automated reasoning and inference,
• cognition and AI,
• cognition and AI,
• case-based reasoning,
• commonsense reasoning,
• computer vision,
• constraint processing,
• ethical AI,
• explainable AI,
• heuristic search,
• human interfaces,
• intelligent robotics,
• knowledge representation,
• machine learning,
• multi-agent systems,
• natural language processing,
• planning and action,
• reasoning under uncertainty.

The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness. Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited.

12. Machine Learning| Impact Factor: 3.203 | Machine Learning Journals

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems.

The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted.

Courtesy: Scimagojr

Top 10 Internet of Things(IoT) Journals

List of Non Paid SCI and Scopus Indexed Computer Science Engineering Journals

The post Top 12 Machine Learning Journals appeared first on iLovePhD.

Web of Science (WoS) is an online subscription-based Scientific Citation Indexing (SCI) service originally produced by the Institute for Scientific Information(ISI) in 1964. In this article, a list of computer science engineering Open Access (OA) SCI journals indexed in web of science are provided for researchers to identify and publish their manuscripts.

ISI was acquired by Thomson Scientific & Healthcare in 1992 and named Thomson Reuters Intellectual Property and Science Business, which became known as Thomson ISI, later it was maintained by Clarivate Analytics to provide a comprehensive citation search of all indexing.

Open Access Journals(OAJ)

All articles in open access journals that are published by reputed publishers have undergone peer review and upon acceptance are immediately and permanently free for everyone to read and download.

List of Open Access Computer Science SCI Journals

Source: Scimagojr.com

List of Non Paid SCI and Scopus Indexed Computer Science Engineering Journals

What is the difference between SCI, SCIE and ESCI Journals?

How to Identify ISI, Scopus, or Scimago Indexed journals?

The post List of Open Access SCI Journals in Computer Science appeared first on iLovePhD.

Prince Sultan University, Center of Excellence Robotics and Internet-of-Things Lab (RIOTU) invites applications for the postdoc positions in the Robotics and Internet of Things(IoT) lab.

Internet of Things (IoT) at RIOTU Lab

• One of the main objectives of the position is to develop solutions for large-scale IoT systems that guarantee the quality of service and also meeting IoT requirements, namely scalability, energy-efficiency, interoperability, etc.
• Concrete use cases related to smart city (e.g smart parking, waste management, smart grid, etc). RIOTU have a strong collaboration with big IoT companies in Saudi Arabia, namely Elm Company and MachinesTalk.
• RIOTU further like to investigate the effectiveness of edge computing strategy in dealing with the scalability of the IoT and reducing the processing load and energy consumption in data centres.
• In addition, RIOTU leverages the use of service-oriented architecture to develop things as services in the cloud, such as a robot as a service, drone as a service, etc.
• RIOTU have already developed our own platform for the monitoring and control of robots and drones over the Internet.
• RIOTU is extending this platform to support multi-robot collaboration, in addition, to the integration of security and safety functions.

Postdoc Positions in Robotics and IoT Lab

The mission of the Robotics and Internet of Things lab is to develop innovative solutions for these three areas.

In particular, RIOTU aim at developing protocols, services and intelligent algorithms to use these systems through the Internet while integrating them into the cloud. The objective of cloud integration is to

(1) virtualize the access to these systems through abstract interfaces,

(2) take advantage of cloud resources to offload computations from these systems to the cloud.

RIOTU are also interested in developing deep learning solutions to analyze data collected from robots/drones/sensors in different contexts of applications, such as surveillance, people behaviour monitoring, self-driving systems, disaster management, crowd management, etc.

Requirements

• Hold PhD in Computer Science, Computer Engineering, Electrical Engineering, Robotics or related fields
• PhD degree obtained in the last three years
• Has published at least 3 high quality journal papers during his PhD (minimun eligbility requirement)
• Research interest and expertise in one of the aforementioned areas of interest
• Good programming and software development skills
• Demonstrated ability to work independently and in a team
• Be very dynamic and self-motivated
• Excellent writing skills of technical and research papers in English
• Excellent spoken skills in English
• Excellent communication skills and a proven ability to deliver on challenging software development tasks

Applications will be open until otherwise notified.

Benefits

The Fellowship provides:

• Monthly salary (based on the research record)
• Round-trip economy airfare
• Medical insurance
• Conference and fieldwork grants
• Additional financial benefits (provided in the job offer)

How and what to apply?

Interested individuals should email their curriculum vitae, a research statement, a sample of publications, and two letters of reference (under a separate cover) to Dr. Ahmed Yamani (rector@psu.edu.sa) at the Rector Office at Prince Sultan University and to the Robotics and Internet of Things Lab (riotu at psu dot edu dot sa).

More Information: Riotu-lab.org

The post Postdoc Positions in Robotics and IoT Lab – Prince Sultan University appeared first on iLovePhD.

The University of Lyon invites application for the postdoc position in IoT-microservices platform for mobility monitoring, analysis and recommendation“.

The Postdoc will have the opportunity to work on multi-source large-scale, including GPS floating car data, smart car data, samples of 2G, 3G and 4G network probe data.

The platform will be implemented by using multiple technologies suited for big data processing, machine learning and IoT integration (Kubernetes-OpenShift, Apache Spark, Apache Flink, Neo4J, etc.)

Also, aspiring candidates must have a strong background in Distributed
Systems, IoT/Edge computing, Graphs and Big Data Processing, with interest and skills in Machine Learning and Data Analysis tasks.

Postdoc in IoT

The project aims to develop data-driven monitoring and decision-making platform, based on IoT and micro-services technologies, to improve transport resilience via (real-time) big data analytics and complex network mining solutions.

Requirements

The candidate shall hold a PhD on a topic related to big data, cloud/IoT computing, software engineering, machine learning or data science.
Specifically, the candidate must have:

• proven experience in Big Data technologies (Big Data processing and management) and distributed programming frameworks and products (Hadoop, Spark, Scala, HBase, OpenShift, Kubernetes);
• knowledge of Machine Learning Tools and Frameworks (e.g., supervised/unsupervised/deep ML);
• knowledge of complex networks theory and toolkits (graph theory, multilayer networks, centrality measures, etc.);
• scripting and coding skills (e.g., bash, java, scala, python);
• autonomous and team working capabilities;
• a record of publications on Q1 journals (at least one) and top-tier A/A+ conferences (at least two)

How to Apply

 To apply, please send the following documents to angelo.furno@ifsttar.fr 

• A curriculum vitae;
• Transcript of records (marks) up to the Master degree;
• The PhD Thesis manuscript;
• A two-page (maximum) research statement discussing a personal vision of the position, wrt references proposed in the call (see below)
• At least, one recommendation letter and a list of references to contact.
• A PhD on a software engineering/distributed systems topic is required. 
• Knowledge of AI and data science is considered a positive plus.

Deadline:20 Aug 2020

More Information: Postdoc_PROMENADE

The post Postdoc in IoT-microservices platform – University of Lyon, France appeared first on iLovePhD.

Huawei Network Technology Lab European Branch Division plays a leading role in researching new technology and delivering a specific solution for the next generation networks including the Internet, Enterprise, IoT, Industrial Ethernet, etc. In order to build a team of high-end experts engaged in research work in the field of networking, we are searching for a Network Research Scientist!

Huawei Technologies Research & Development Belgium is a center of excellence for silicon photonics design and processing.

IoT Network Research Scientist at Huawei

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services, and Devices.

With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world’s top 50 telecom operators, as well as one-third of the world’s population.

A career in Huawei:

Candidate of Huawei Fellowship, opportunities for R&D on an international scale.

Working environment: Global teamwork across the EU and Asia with English as a business language.

Meaningful work: research results could support the requirement of Huawei’s products and solutions which are used and deployed in over 140+ countries and serving more than one-third of the world’s population.

Team spirit: barrier-free communication between each researcher in Huawei, doors are open and collaborations are always welcome.

Position Responsibility: 

Study futuristic technology and industry trends for future network areas, especially in the IP network area, to build the best competitiveness network solution and product Contribute to the strategies and tasks of department, such as technology research, Eco-systems building, customer communication, academia or industry collaboration, etc.

New technology promotion, including dialogue with tier 1 operators, public speech in world-class events, paper publication, industry alliance collaboration, etc.

Position requirements: 

Preferably a Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, etc., or eventually Master ready to start with a Ph.D. 5+ years of research experience in network areas including but not limited to network algorithms, architecture, and systems, protocols, etc.

With representative research output in network areas. Ability to initiate and develop new ideas and initiatives in collaboration with both external and internal partners.

Excellent Communication skills – Presentation, oral and writing skills. Strong technologies development and collaboration skills. Previous research experience with industries would be a plus.

How to Apply

Huawei Technologies R&D Europe uses CVWarehouse.com to follow up its vacancies and/or internship and job student registrations. If you have already used CVWarehouse to apply for a vacancy, you can use your existing profile to log in.

The post IoT Network Research Scientist at Huawei – Belgium appeared first on iLovePhD.