A Clustering Query Algorithm Based on Particle Swarm in Wireless Sensor Networks

This paper puts a clustering query algorithm based on location, filter values and the ideas of particle swarm according to many querying methods in wireless sensor networks. First, this algorithm partitions regions of the wireless sensors based on location of sensors node, then adopts filtering in the net and node storage, and queries based on the clustering and base station. The algorithm reduced the data traffic, storage and network energy consumption, at the same time, it improved the efficiency and accuracy of querying.