The Internet of Things (IoT) is convergence of various devices equipped with low-power wireless capabilities, data analytics, and cloud services. Real-time IoT and Cyber-Physical Systems (CPS) expand the conventional concept of IoT by further introducing timeliness in every aspect. In fact, real-time IoT and CPS refer to the coupling of and coordination between computational and physical entities in real time. For example, closed-loop control applications such as industrial IoT require end-to-end latency bounds, which can be satisfied by considering every aspect of wireless networking, processor scheduling, real-time cloud service, real-time data analytics, and so on.

In the near future, more and more societal infrastructure will rely on the tight integration of physical entities and computational platforms for convenience, safety, reliability, efficiency, resiliency, and a lot more. This obvious technology trend of the information era opens up new opportunities of critical infrastructure of systems that use sensing, actuation, and real-time control over communication networks, which connect computational and physical entities. Consequently, it has become critical how we can design real-time IoT and CPS that are able to meet the end-to-end real-time performance. This special issue will provide a forum for presenting research works highlighting advances on real-time IoT and CPS ranging from theory to practice, and from platform to applications.

The special issue will be open to any authors. In addition, it will also invite extended versions of carefully selected papers presented at the 32nd International Conference on Information Networking (ICOIN 2018) whose topics fit in the scope of this special issue. Each submission will be reviewed by at least three reviewers to ensure the quality of the papers for the special issue.

Areas of Interest
Topics of interest include, but are not limited to the following:
• Fundamental theory for design of real-time IoT and CPS
• Communication and network design for real-time IoT and CPS
• Network, control, and real-time scheduling co-design in IoT and CPS
• Modeling and analysis of physical components and environment in real-time IoT and CPS
• Modeling, analysis, and integration of human activities in real-time IoT and CPS
• Real-time software platform with monitoring and recovery capabilities
• Data analytics for real-time IoT and intelligent CPS
• Real-time scheduling for timing guarantees in IoT and CPS
• Real-time virtualization in IoT and CPS
• Cloud computing in IoT and CPS
• Testbed implementation of real-time IoT and CPS
• Case studies of real-time IoT and CPS

Journal Info
Transactions on Emerging Telecommunications Technologies (Wiley)
SCIE indexed, IF 1.535

Guest Editors
Prof. Kyung-Joon Park, DGIST, South Korea
kjp@dgist.ac.kr
http://csi.dgist.ac.kr/

Prof. Kyungtae Kang, Hanyang University, South Korea
ktkang@hanyang.ac.kr
http://cpslab.hanyang.ac.kr/

Prof. Qixin Wang, Hong Kong Polytechnic University, Hong Kong
csqwang@comp.polyu.edu.hk
http://www4.comp.polyu.edu.hk/~csqwang/

Prof. Dongeun Lee, Texas A&M University–Commerce, TX, USA
dongeun.lee@tamuc.edu
http://faculty.tamuc.edu/dongeunlee/