Computational intelligent sensor-rank consolidation approach for Industrial Internet of Things (IIoT).

Mekala, M.S.; Rizwan, Patan; Khan, Mohammad S.

Abstract

Continues field monitoring and searching sensor data remains an imminent element emphasizes the influence of the Internet of Things (IoT). Most of the existing systems are concede spatial coordinates or semantic keywords to retrieve the entail data, which are not comprehensive constraints because of sensor cohesion, unique localization haphazardness. To address this issue, we propose deep-learning-inspired sensor-rank consolidation (DLi-SRC) system that enables 3-set of algorithms. First, sensor cohesion algorithm based on Lyapunov approach to accelerate sensor stability. Second, sensor unique localization algorithm based on rank-inferior measurement index to avoid redundancy data and data loss. Third, a heuristic directive algorithm to improve entail data search efficiency, which returns appropriate ranked sensor results as per searching specifications. We examined thorough simulations to describe the DLi-SRC effectiveness. The outcomes reveal that our approach has significant performance gain, such as search efficiency, service quality, sensor existence rate enhancement by 91%, and sensor energy gain by 49% than benchmark standard approaches.

Citation

MEKALA, M.S., RIZWAN, P. and KHAN, M.S. 2023. Computational intelligent sensor-rank consolidation approach for Industrial Internet of Things (IIoT). IEEE Internet of Things journal [online], 10(3), pages 2121-2130. Available from: https://doi.org/10.1109/JIOT.2021.3073600

• Journal Article Type: Article
• Acceptance Date: Apr 2, 2021
• Online Publication Date: Apr 15, 2021
• Publication Date: Feb 1, 2023
• Deposit Date: Feb 27, 2023
• Publicly Available Date: Feb 27, 2023
• Journal: IEEE Internet of Things journal
• Electronic ISSN: 2327-4662
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 3
• Pages: 2121-2130
• DOI: https://doi.org/10.1109/jiot.2021.3073600
• Keywords: Big data analytics; Cloud computing; Lyapunov approach; Optimal measurement analysis; Rank-inferior measurement (RIM) index
• Public URL: https://rgu-repository.worktribe.com/output/1867333