%0 Journal Article
%A LI Ying
%A LIU Yong
%A XIAO Ren-rong
%A YU Hao
%A YU Xiu-wu
%T Wireless Localization Algorithm of Adaptive Levy Whale Based on Mapping Curve
%D 
%R 10.13190/j.jbupt.2019-192
%J Journal of Beijing University of Posts and Telecommunications
%P 125-129,136
%V 43
%N 5
%X Aiming at the problems of low calculation efficiency and low positioning accuracy of the multidimensional scaling map (MDS-MAP) algorithm, a wireless localization algorithm of adaptive Levy whale based on mapping curve (AWL-MC) is proposed. The mapping curve distance analysis method is used to make rough relative positioning of the localization nodes, so as to improve the calculation efficiency of nodes. Then the relative coordinates are converted into absolute coordinates by linear transformation. Finally, the adaptive Levy flight whale optimization algorithm is adopted to perform global and local search optimization processing for the coordinates of positioning nodes, so as to avoid local optimal solution and improve positioning accuracy. Simulations show that compared with MDS-MAP, AWL-MC algorithm has a 66.42% improvement rate in positioning accuracy and a 52.57% improvement in calculation efficiency. Compared with the multidimensional scaling extended Kalman filter, AWL-MC algorithm has a 57.80% improvement rate in positioning accuracy and a 66.01% improvement in calculation efficiency.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2019-192