Hybrid Particle Swarms for Energy-efficient Routing in Heterogeneous Wireless Sensor Networks

Many solutions have been proposed where energy awareness is essential consideration for stable routing. In this proposed work, hybrid of reactive flock-cluster and proactive-cluster routing algorithm based on the residual energy, fitness function and Euclidean distance of nodes in heterogeneous wireless sensor network. The algorithm consists of both reactive and proactive setup phase. In a reactive way, multiple paths are built between the source and destination of a data session. During the course of the session, paths are continuously monitored and improved in a proactive way and update the information at continuous time events by using fitness function of each node. By simulation experiments, it is shown that the performance of the proposed work outperforms the standard AODV routing algorithm. Keyword: heterogeneous wireless sensor networks, particle swam optimizer, flock-cluster, proactive