An efficient data-balancing cyber-physical system paradigm for quality-of-service (QoS) provision over fog computing


Almiani M. Razaque A. Alotaibi B. Alotaibi M. Amanzholova S. Alotaibi A.
January-1 2022MDPI

Applied Sciences (Switzerland)
2022#12Issue 1

Cyber-physical systems (CPSs) have greatly contributed to many applications. A CPS is capable of integrating physical and computational capabilities to interact with individuals through various new modalities. However, there is a need for such a paradigm to focus on the human central nervous system to provide faster data access. This paper introduces the CPS paradigm that consists of CPS enabled human brain monitoring (CPS-HBM) and efficient data-balancing for CPS (EDB-CPS). The CPS-HBM provides architectural support to make an efficient and secure transfer and storage of the sensed data over fog cloud computing. The CPS-HBM consists of four components: physical domain and data processing (PDDP), brain sensor network (BSN), Service-oriented architecture (SOA), and data management domain (DMD). The EDB-CPS module aims to balance data flow for obtaining better throughput and lower hop-to-hop delay. The EDB-CPS accomplishes the goal by employing three processes: A node advertisement (NA), A node selection and recruitment (NSR), and optimal distance determination with mid-point (ODDMP). The processes of the EDB-CPS are performed on the PDDP of the CPS-HBM module. Thus, to determine the validity of EDB-CPS, the paradigm was programmed with C++ and implemented on a network simulator-3 (NS3). Finally, the performance of the proposed EDB-CPS was compared with state-of-the-art methods in terms of hop-to-hop delay and throughput. The proposed EDB-CPS produced better throughput between 443.2–445.2 KB/s and 0.05–0.078 ms hop-to-hop delay.

Brain sensor network , Cyber-physical systems , Cyberspace , Wireless sensor networks

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Management Information System Department, Gulf University for Science and Technology, Hawally, 32093, Kuwait
Computer Information Systems Department, Al-Hussein Bin Talal University, Ma’an, 71111, Jordan
Department of Computer Engineering and Cybersecurity, International Information Technology University, Almaty, 050000, Kazakhstan
Department of Information Technology, University of Tabuk, Tabuk, 47731, Saudi Arabia
Sensor Networks and Cellular Systems (SNCS) Research Center, University of Tabuk, Tabuk, 47731, Saudi Arabia
Department of Computer Science, Shaqra University, Shaqra, 11961, Saudi Arabia
Department of Cybersecurity, International Information Technology University, Almaty, 050000, Kazakhstan
Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

Management Information System Department
Computer Information Systems Department
Department of Computer Engineering and Cybersecurity
Department of Information Technology
Sensor Networks and Cellular Systems (SNCS) Research Center
Department of Computer Science
Department of Cybersecurity
Department of Computer Science

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