3DDV-Hop node localization optimized based on multi-strategy improved sparrow search algorithm
To enhance the node localization accuracy and stability of the tradition three-dimensional DV-Hop(3DDV-Hop)algorithm in wireless sensor network(WSN),a 3DDV-Hop positioning optimization algorithm based on the improved multi strategy sparrow search algorithm(MISSA-3DDV-Hop)was proposed.Firstly,a communication radius classification method was used in the anchor nodes to refine the hop value of positioning nodes,which improves the accuracy of the calculation of the minimum hop number.Then the weighted average of hop distance error and estimated distance error was applied to correct the average hop distance between nodes,so as to reduce the distance estimation error between anchor nodes and unknown nodes.Finally,the sparrow search algorithm was used to optimize the location of unknown nodes in 3DDV-Hop algorithm,and the good-point set and discoverer-follower adaptive adjustment strategy were introduced.By establishing the error fitness function and objective function,the distribution and diversity of the initial population,global convergence speed and local optimization ability of sparrow search algorithm were enhanced.The simulation results show that the improved algorithm effectively improves the positioning accuracy and convergence speed compared with the traditional 3DDV-Hop,IPSO-3DDV-Hop and IGA-3DDV-Hop algorithms.
communication technologywireless sensor network3DDV-Hopmulti-strategy sparrow search algorithmaverage hop distancegood point set
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