Low-energy routing based on Ant Colony Algorithm Genetic Algorithm in wireless sensor networks

摘要

While designing the routing protocol in wireless sensor networks (WSN), one of the key problems is to keep the energy-load balance over the network for prolonging its lifetime. In this paper, we propose a low-energy clustering WSN routing protocol based on Ant Colony Algorithm Genetic Algorithm (ACAGA). The protocol divides the network into several clusters and selects cluster heads according to the relative locations and the residual energy status of nodes. While keeping the energy-load balance over the whole network, it accomplishes a low-energy routing and prolongs the whole network's lifetime by using the distributed computation and global route optimization capabilities of ACAGA.