An improved coverage optimization method for video sensor networks based on whale optimization algorithm

Abstract

In this paper, an improved coverage optimization method for video sensor networks(VSNs) based on Whale optimization algorithm (SGWOA) is proposed to solve the problem of uneven distribution of nodes in random deployment of video sensor networks, which will cause coverage holes or coverage redundancy in the coverage area of VSNs. Firstly, Sobol sequence is used to initialize the population, which improves the diversity of the population and makes the distribution of network nodes more uniform when randomly deployed. Secondly, the nonlinear convergence factor and adaptive inertia weight are introduced to prevent the algorithm from falling into local optimal prematurely. Finally, Levi's flight strategy is added to disturb the position update during whale optimization, which speeds up the convergence of the algorithm and avoids premature convergence.