Journal
APPLIED SCIENCES-BASEL
Volume 12, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/app12010246
Keywords
cyber-physical systems; brain sensor network; wireless sensor networks; cyberspace
Categories
Funding
- Sensors Networks and Cellular Systems (SNCS) Research Center [1442-002]
- Taif University Supporting Project [TURSP-2020/302]
- Taif University, Taif, Saudi Arabia
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This paper introduces the CPS paradigm consisting of CPS-HBM and EDB-CPS modules. CPS-HBM provides efficient and secure transfer and storage of sensed data, while EDB-CPS aims to balance data flow for better performance.
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.
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