Title: Coverage dynamic optimisation for video sensor networks based on PSO algorithm

Authors: Chenglong Zhang

Addresses: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China

Abstract: Under the deterministic deployment of the video sensor nodes, the nodes are fixed in position and adjustable in direction. In order to improve the coverage of video sensor networks, a multi-group directional sensing model is designed, and a coverage dynamic optimisation for video sensor networks based on particle swarm optimisation algorithm is proposed. The designed algorithm adopts cosine adaptive inertia weight, and adaptively adjusts it from large to small with the number of iterations. It can improve the coverage rate of networks by optimising the sensing model. The experimental results show that the proposed algorithm has better results of different sensing angles, and can improve coverage rate in the condition of deterministic deployment of nodes.

Keywords: coverage rate; dynamic optimisation; video sensor networks; particle swarm optimisation; PSO.

DOI: 10.1504/IJCI.2020.111667

International Journal of Collaborative Intelligence, 2020 Vol.2 No.2, pp.138 - 145

Received: 26 Dec 2019
Accepted: 13 Jan 2020
Published online: 08 Dec 2020 *

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