Abstract
There are several techniques for routing in wireless sensor network WSN. Using minimum transmission energy model and minimum hop routing model techniques it may happen that the same path is used for more times and nodes on this route are drained of energy. This leads to network partition and thus, reduction in network lifetime which makes the routing algorithm unsuccessful and ineffective. Energy conservation in the WSN is of paramount importance. In this paper, we present energy-efficient routing techniques for two-tiered WSN using Genetic Algorithm, Particle Swarm Optimisation and A-Star algorithm based approach to enhance lifetime of the network. Result analysis shows that A-star algorithm based approach extends lifetime of sensor network comparatively more. But after network lifetime is over, PSO and GA based approach preserves more stronger nodes which signifies that selection/rotation of cluster head strategy can improve performance of network.
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