Swarm Intelligent Compressive Routing in Wireless Sensor Networks

This paper proposes a novel algorithm to improve the lifetime of a wireless sensor network. This algorithm employs Swarm Intelligence algorithms in conjunction with compressive sensing theory to build up the routing trees and to decrease the communication rate respectively. The main contribution of this paper is to extend Swarm Intelligence algorithms to build a routing tree in such a way that it can be utilized to maximize the efficiency thereby rectifying the delay problem of compressive sensing theory and improving the network lifetime. In addition, our approach offers accurate data recovery from small amounts of compressed data. Simulation results show that our approach can effectively extend the network lifetime of a large scale wireless sensor network. Keywords-Wireless sensor network; lifetime; compressive sensing theory; particle swarm optimization; artificial bee colony