%0 Journal Article
%A LIU Yong
%A ZHANG Ke
%A YU Xiu-wu
%T Localization Algorithm Based on Penalty Function and Water Wave Optimization for WSN
%D 
%R 10.13190/j.jbupt.2019-193
%J Journal of Beijing University of Posts and Telecommunications
%P 106-112
%V 43
%N 4
%X In order to improve the search efficiency and localization accuracy of the heuristic localization algorithm, a localization algorithm base on penalty function and water wave optimization for wireless sensor network (WSN) is proposed. Firstly, the proposed algorithm uses the bounding-box method to construct the penalty function, which improves the water wave optimization algorithm's searching efficiency. Then the dynamic learning strategy is used to improve the propagation stage of the traditional water wave optimization algorithm, which encourages the individual to learn from the surrounding excellent individuals. And the dynamic wave height is introduced to enhance the individual's local search probability in late stage. Simulations show that the penalty function strategy and the improved water wave optimization algorithm can improve the search efficiency and positioning accuracy. The proposed algorithm has good feasibility and effectiveness in WSN node location.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2019-193