Journals Proceedings

Abstract

Wireless Sensor Network (WSN) plays a major role in collecting physical data from various locations using battery powered sensor nodes and forward it to the sink node. Limited energy resource is the major constraint associated with WSN, since in most cases it may not be possible to change or recharge batteries. For successful communication, the lifetime of sensor nodes or motes play an important role. Hence, designing of energy efficient routing algorithm is one of the key challenges that need to be addressed for extending the life time of the network. In this paper, cooperative game theoretic approach is applied in A Novel Clustering Algorithm for Energy Efficiency (G-ANCAEE) and low energy adaptive clustering hierarchy (G-LEACH). The G-ANCAEE performance enhances the life time of the nodes by minimizing energy consumption during data transmission. The G-ANCAEE involves fixed clusters and randomized weighted algorithm for cluster head (CH) selection which efficiently reduces the energy consumption. Cooperative game theory is used to select healthier cluster-heads having sufficient residual energy with high trust level. Simulation results of the G-ANCAEE shows that the energy expended in the network can be reduced as the number of frames per round is increased compared to G-LEACH protocol.