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《Chinese Journal of Sensors and Actuators》 2018-06
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Bat-Based Optimal Location Algorithm With Distance-Weighted Error and Multiple Communication Radius

WEN Siqin;Computer Department,Hohhot Minzu College;  
Traditional DV-Hop localization algorithm has clear positioning errors,andthe improved particle swarm optimization algorithm cannot satisfy the requirement of node location accuracy because it is easy to trap into local optimal solution and too slow local convergence. In view of this,this thesis attempts to eliminate the interference of abnormal anchor nodes to location accuracy through setting the threshold value of hop number; This thesis modifies minimum hop number by means of multi-communication radius broadcasting method; Meanwhile,the average jump distance is corrected by using distance error and hop number normalization. Bat algorithm is improved through using cubic mapping homogenization initial bat population,introducing into hop local optimum ability of Levy flying characteristics enhanced algorithm,and adopting Powell local search enhanced algorithmconvergence,and then the improved algorithm is used to locate unknown nodes. The simulation results show that,compared with the traditional DV-Hop,BIDV-Hop,GAPSODV-Hop and other algorithms,the improved localization algorithm in this thesis can effectively reduce the positioning errors and improve the positioning accuracy.
【Fund】: 内蒙古自治区高等学校研究项目(NJZY14205)
【CateGory Index】: TN929.5;TP212.9
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