%0 Journal Article
%A CUI Meng-yao
%A DONG Hao
%A DONG Ying
%A LI Shi-yuan
%A WANG Yu-hou
%T Charging Strategy of Multiple Charging Vehicles in WRSNs Based on <em>K</em>-PPER Algorithm
%D 2018
%R 10.13190/j.jbupt.2018-080
%J Journal of Beijing University of Posts and Telecommunications
%P 65-70,77
%V 41
%N 6
%X Mostly,the charging strategy in wireless rechargeable sensor networks (WRSNs) adopts single mobile charger, but it can't meet the requirements of network scale. The charging strategy of multiple charging vehicles based on <em>K</em>-means improvement periodic energy replenishment based on charging priority (<em>K</em>-PPER) is proposed. Firstly, the network is divided into clusters by adopting the <em>K</em>-means improvement algorithm. Then, the network is recharged in clusters unit. The node with charging request is added to the charging sequence of the belonging cluster. And each charging sequence is sorted by the node's charging priority. At last, the base station sends a mobile charger to the cluster and starts to charge according to the sequence. The experimental results show that the network utility is about 42% higher than <em>K</em>-means. The energy utility of <em>K</em>-PPER algorithm increases about 4% compared with distributed coordination local knowledge (DCLK) protocol, and increases about 18% compared with distributed coordination protocol.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-080