Research on Wireless Sensor Network Location Based on Improved Sparrow Search Algorithm
To solve the problem of large location error of distance vector hop( DV-Hop) algorithm in wireless sensor networks,a location algorithm based on improved sparrow search is proposed. Firstly,aiming at the traditional DV-Hop algorithm,the average hop distance and the minimum hop number of nodes are modified. Secondly,Sine chaotic map,adaptive inertia weight and two sample learning strate-gy are introduced to improve the searching ability of the algorithm. Finally,MATLAB is used to build a simulation model for perform-ance comparison experiments. The experimental results show that the proposed algorithm can effectively improve the location accuracy and convergence speed of unknown nodes compared with other node location algorithms.
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维普
