Coverage dynamic optimisation for video sensor networks based on PSO algorithm Online publication date: Tue, 08-Dec-2020
by Chenglong Zhang
International Journal of Collaborative Intelligence (IJCI), Vol. 2, No. 2, 2020
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.
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