Improved Soft-k-Means Clustering Charging Based on Node Collaborative Scheduling in Wireless Sensor Networks

Abstract

Energy is still one of the most important problems in wireless sensor network (WSN). With the application of wireless charging vehicle (WCV), wireless charging technology can be used to solve the energy problem of WSN. In the wireless rechargeable sensor network (WRSN), how to reasonably deploy the WCV has become a problem in planning. The existing studies only consider the impact of independent coverage contribution of a single node on the charging path planning, but do not consider the redundant coverage area that may occur when a single node works independently, resulting in a small or even zero coverage contribution of some nodes. This paper propose Improved Soft-k-Means Clustering Charging Based on Node Collaborative Scheduling (ISKCC-NCS) to keep the coverage quality of WSN. At first, this algorithm uses Improved Soft-k-Means to cluster WRSN, and realizes confident information coverage through collaborative sensing between adjacent nodes. The second, we evaluate the coverage contribution of each node to be charged and calculate the priority of the node. The third, we form new charging path by inserting and deleting tasks. At last, a carrier charging vehicle (CCV) is used to carry several micro charging vehicle (MCV) to each cluster to charge the sensor node. Through a large number of simulation experiments, it is found that compared with other algorithms, ISKCC-NCS can significantly enhance the coverage rate and monitoring stability of the WSN.