Impact Factor (JCR’21)
Impact Factor (JCR’22)
5-Year Impact Factor
Submission-to-ePublication = 19.3 weeks, median; 16.9 weeks, average
Please prepare your manuscript according to the Guidelines for Authors.
Current and past issues are accessible in IEEE Xplore.
Tiny Machine Learning in Internet of Unmanned Aerial Vehicles
Prognostics and Health Management using the Internet of Things
Energy Internet: A Cyber-Physical-Social Perspective
Data Management and Security in Resource-constrained Intelligent IoT Systems
Current Research Trend and Open Challenge for Industrial Internet-of-Things
Next Generation Multiple Access for Internet-of-Things
Integrated Sensing and Communications (ISAC) for 6G IoE
Edge Learning in B5G IoT Systems
Integrated Sensing, Computing and Communication for Internet of Robotic Things
Efficient, Effective, and Explicable Artificial Intelligence Inspired IoT over Non-Terrestrial Networks
Augmented Intelligence of Things for Vehicle Road Cooperation Systems
Low-Carbon Sustainable Computing Enabled Artificial Intelligence of Things
Purpose and Scope
The IEEE IoT Journal (IoT-J), launched in 2014 (“Genesis of the IoT-J“), publishes papers 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, IoT services and applications, and the social implications of IoT. 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 architectures such as things-centric, data-centric, service-centric architecture, CPS and SCADA platforms, future Internet design for IoT, cloud-based IoT, and system security and manageability.
- IoT enabling technologies such as sensors, radio frequency identification, low power and energy harvesting, sensor networks, machine-type communication, resource-constrained networks, real-time systems, IoT data analytics, in situ processing, and embedded software.
- IoT services, applications, standards, and test-beds such as streaming data management and mining platforms, service middleware, open service platform, semantic service management, security and privacy-preserving protocols, design examples of smart services and applications, and IoT application support.
Nei Kato, Tohoku University, Japan (Email: email@example.com)