A hybrid algorithm for sensing coverage problem in wireless sensor netwoks

The coverage problem is one basic problem in the wireless sensor networks (WSNs). In one limited region, how to reasonably arrange the sensor nodes to achieve the best coverage is the key to improve the performance of the whole networks. This paper presented a hybrid algorithm which is based on the fish swarm algorithm and particle swarm optimization in the limited WSNs region. The new algorithm has the well global search ability of the fish swarm algorithm and the quickly search ability of the particle swarm optimization. The simulation results show that the hybrid algorithm can effectively optimize the nodes' deployment of the sensor networks to improve the coverage of the whole networks.