A Dynamic Artificial Fish Swarm Optimization Based Cluster Algorithm for Wireless Sensor Networks

The swarm intelligence optimization algorithms are effective measures on saving node energy and improving cluster configuration for WSN routing protocol research.In order to decrease runtime of basic artificial fish swarm optimization,in this paper,a dynamic artificial fish swarm optimization based cluster algorithm for WSN was proposed.The algorithm achieve more appropriate cluster and better global/local optimization through dynamic adjusting visual and step parameters of artificial fish.The simulation results show that the total number of alive nodes is greater and the node energy dissipation is more decreasing than that is LEACH,LEACH-C and basic AFSO.