Open Access

ARTICLE

Reliability Analysis of Correlated Competitive and Dependent Components Considering Random Isolation Times

by Shuo Cai¹, Tingyu Luo¹, Fei Yu^1,*, Pradip Kumar Sharma², Weizheng Wang¹, Lairong Yin³

1 School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410114, China
2 Department of Computing Science, University of Aberdeen, Aberdeen, UK
3 School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, 410114, China

* Corresponding Author: Fei Yu. Email:

Computers, Materials & Continua 2023, 76(3), 2763-2777. https://doi.org/10.32604/cmc.2023.037825

Received 17 November 2022; Accepted 23 February 2023; Issue published 08 October 2023

Abstract

In the Internet of Things (IoT) system, relay communication is widely used to solve the problem of energy loss in long-distance transmission and improve transmission efficiency. In Body Sensor Network (BSN) systems, biosensors communicate with receiving devices through relay nodes to improve their limited energy efficiency. When the relay node fails, the biosensor can communicate directly with the receiving device by releasing more transmitting power. However, if the remaining battery power of the biosensor is insufficient to enable it to communicate directly with the receiving device, the biosensor will be isolated by the system. Therefore, a new combinatorial analysis method is proposed to analyze the influence of random isolation time (RIT) on system reliability, and the competition relationship between biosensor isolation and propagation failure is considered. This approach inherits the advantages of common combinatorial algorithms and provides a new approach to effectively address the impact of RIT on system reliability in IoT systems, which are affected by competing failures. Finally, the method is applied to the BSN system, and the effect of RIT on the system reliability is analyzed in detail.

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Keywords

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