Article: Relatively strong barrier coverage for <i>β</i>-breadth intruder in hybrid visual IoT Journal: International Journal of Communication Networks and Distributed Systems (IJCNDS) 2025 Vol.31 No.2 pp.123 - 147 Abstract: In the pursuit of reducing the costs associated with barrier coverage construction while maintaining surveillance quality, we propose a robust barrier coverage strategy for visual applications within the Internet of Things (IoT), considering the varying breadth of intruder paths. When coverage gaps arise or mission requirements evolve, it becomes imperative to reconfigure the network topology to sustain coverage through the rescheduling of sensor nodes. To minimise the rescheduling costs in hybrid networks, we develop a two-phase hybrid node rescheduling algorithm to achieve strong barrier coverage. The initial phase of our algorithm enables the static sensor nodes to optimise their operational directions, effectively reducing barrier gaps. In the second phase, we strategically reposition mobile sensor nodes to achieve a relatively strong barrier with the least number of nodes and the shortest total movement distance. Simulation results demonstrate that our algorithm outperforms existing methods in terms of efficiency and effectiveness. Inderscience Publishers - linking academia, business and industry through research

Title: Relatively strong barrier coverage for β-breadth intruder in hybrid visual IoT

Authors: Gong Chen; Yonghua Xiong; Jinhua She; Anjun Yu

Addresses: School of Automation, China University of Geosciences, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, 430074, China ' School of Automation, China University of Geosciences, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, 430074, China ' School of Engineering, Tokyo University of Technology, Tokyo, 192-0982, Japan ' Jiangxi Ganyue Expressway Co., Ltd., Nanchang, 330200, China

Abstract: In the pursuit of reducing the costs associated with barrier coverage construction while maintaining surveillance quality, we propose a robust barrier coverage strategy for visual applications within the Internet of Things (IoT), considering the varying breadth of intruder paths. When coverage gaps arise or mission requirements evolve, it becomes imperative to reconfigure the network topology to sustain coverage through the rescheduling of sensor nodes. To minimise the rescheduling costs in hybrid networks, we develop a two-phase hybrid node rescheduling algorithm to achieve strong barrier coverage. The initial phase of our algorithm enables the static sensor nodes to optimise their operational directions, effectively reducing barrier gaps. In the second phase, we strategically reposition mobile sensor nodes to achieve a relatively strong barrier with the least number of nodes and the shortest total movement distance. Simulation results demonstrate that our algorithm outperforms existing methods in terms of efficiency and effectiveness.

Keywords: IoT; Internet of Things; hybrid network; coverage holes; nodes rescheduling.

DOI: 10.1504/IJCNDS.2025.144707

International Journal of Communication Networks and Distributed Systems, 2025 Vol.31 No.2, pp.123 - 147

Received: 26 Jul 2023
Accepted: 02 Feb 2024
Published online: 28 Feb 2025 *

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Title: Relatively strong barrier coverage for β-breadth intruder in hybrid visual IoT

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