Intelligent and pervasive computing for cyber-physical systems
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Intelligent and pervasive computing for cyber‑physical systems Mohammad R. Khosravi1,2 · Varun G. Menon3
© Springer Science+Business Media, LLC, part of Springer Nature 2020
We are happy to introduce the topical collection on “Intelligent and Pervasive Computing for Cyber-Physical Systems” for The Journal of Supercomputing. The subject of cyber-physical systems (CPS) aims to integrate computation, networking and physical processes in Industry 4.0. In these systems, embedded computers for networked monitoring through sensors and control through actuators can help us to manage the physical processes with the use of ultra-reliable and low-latency communications and high-performance computing provided by joint computing– networking infrastructures in distributed nodes. CPS concerns can also include the related topics in Internet of things (IoT) and distributed sensor networks (DSNs) toward pervasive communications and mobile intelligent computing for the research and development of cutting-edge and advanced applications in smart cities and industrial manufacturing. In recent years, high-performance computing for CPS could achieve much attention among academic researchers and industrial developers. With the rapid developments in artificial intelligence, bio-/nature-inspired soft computing and cyber-physical ubiquitous computing strategies, CPS needs to use them extensively. This topical collection has tried to highlight the latest research findings and advances focused on how intelligent and pervasive computing is efficiently used in CPS, IoT and DSN, with combining sensory data, control of actuators, and networking and security requirements. The detailed topics covered by the collection are distributed computing techniques for CPS/IoT/DSN, cloud/fog/edge computing techniques and architectures for CPS and IoT, deep learning, neural networks * Mohammad R. Khosravi [email protected] Varun G. Menon [email protected] 1
Department of Computer Engineering, Persian Gulf University, Bushehr, Iran
2
Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran
3
Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Kochi, India
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M. R. Khosravi, V. G. Menon
and statistical machine learning for CPS and IoT, human–computer interaction and human-in-the-loop for CPS, intelligent sensing techniques and physical processes, security and privacy for CPS/IoT/DSN, protocols and infrastructures for distributed networks, optimization in cyber-physical systems, intelligent multimedia computing in CPS/IoT/DSN, cyber-physical hybrid intelligence and artificial intelligence of things (AIoT), hardware implementation of CPS, and smart energy systems. This is a pleasure that we have received a large number of submissions from the researchers worldwide. The received manuscripts were reviewed by at least two expert reviewers and one editor such that twenty-five papers were eventually accepted after a rigorous peer review process. Am
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