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資訊管理學系楊欣哲特聘教授發表最新期刊論文

JSQE: Joint Surveillance Quality and Energy Conservation for Barrier Coverage in WSNs

作者：Xuemei Shao, Chih-Yung Chang , Shenghui Zhao, Chin-Hwa Kuo, Diptendu Sinha Roy, Xinzhe Pi and Shin-Jer Yang

Sensors (SCI)

卷數：22 期：11

文獻號碼：4120

出版日期：Jun. 2022

Abstract

Barrier coverage is a fundamental issue in wireless sensor networks (WSNs). Most existing works have developed centralized algorithms and applied the Boolean Sensing Model (BSM). However, the critical characteristics of sensors and environmental conditions have been neglected, which leads to the problem that the developed mechanisms are not practical, and their performance shows a large difference in real applications. On the other hand, the centralized algorithms also lack scalability and flexibility when the topologies of WSNs are dynamically changed. Based on the Elfes Sensing Model (ESM), this paper proposes a distributed Joint Surveillance Quality and Energy Conservation mechanism (JSQE), which aims to satisfy the requirements of the desired surveillance quality and minimize the number of working sensors. The proposed JSQE first evaluates the sensing probability of each sensor and identifies the location of the weakest surveillance quality. Then, the JSQE further schedules the sensor with the maximum contribution to the bottleneck location to improve the overall surveillance quality. Extensive experiment results show that our proposed JSQE outperforms the existing studies in terms of surveillance quality, the number of working sensors, and the efficiency and fairness of surveillance quality. In particular, the JSQE improves the surveillance quality by 15% and reduces the number of awake sensors by 22% compared with the relevant TOBA.

Keywords: wireless sensor networks; barrier coverage; ESM; surveillance quality

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