Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks

Abstract

In this paper genetic algorithm based energy efficient data gathering approach is proposed to maximize the network lifetime in terms of rounds. The proposed approach has two phases, namely a setup phase and steady state phase. In the setup phase, the cluster formation is done based on the query sent by the base station in a dynamic fashion. The nodes, which satisfy the query are only allowed to participate in the clustering process others go to the sleep mode immediately. In which relay nodes are used as routing element, it collects the aggregated information from the cluster head and transmits to the base station via other relay node in a multihop fashion. It balances the network load among the relay nodes. It also reduces the packet loss because of data traffic. From the simulation results, we show that the proposed approach outperforms than the existing protocol in terms of increased network lifetime and decreased energy consumption.