WSN Coverage Optimization Based on Multi-Strategy Improved Sparrow Search Algorithm
In order to solve the problem of uneven distribution of wireless sensor network nodes and low coverage of wireless sensor network,this paper achieved network coverage optimization by using the multi-strategy improved sparrow search algorithm(DSSA).The Delaunay triangular division strategy was utilized to construct a triangular network in the target area,so as to deploy the static nodes.Secondly,the inertia weight cosine dynamic adjustment strategy and the step speed adaptive adjustment strategy were intro-duced to complete the secondary deployment of the network nodes,and improve the algorithm's global search capability.Simulation experiments showed that the DSSA algorithm could effectively improve the coverage rate,and avoid falling into the local optimum,the coverage rate than the other four algorithms were increased by 4.31％,6.26％,3.16％,13.21％,respectively.The results veri-fied that the DSSA algorithm had the feasibility and superiority in the wireless sensor network coverage.
万方数据
维普
