In order to further improve the positioning accuracy of WSN,an improved dv-hop positioning optimization algorithm based on genetic simulated annealing method was proposed.Firstly,the number of hops adjustment factor was introduced to correct the number of hops information between nodes.After the introduction of collinearity,the beacon nodes with large errors were removed.Then the average hop distance of dv-hop beacon nodes was optimized by weighting method,which reduced the localization error caused by the limitations of dv-hop algorithm.Secondly,the local search ability of genetic algorithm w...
