Efficient Energy Consumption in Two Tiered Sensor Networks Using Genetic Algorithm

A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data collected by each sensor is communicated through the network to a single processing centre that uses all reported data to determine characteristics of the environment or detect an event. The communication or message passing process must be designed to conserve the limited energy resources of the sensors. The sensors communicate information only to cluster heads and then the cluster heads communicate the aggregated information to the processing centre, may save energy. This paper proposed genetic algorithm for wireless sensor network for random behaviour of the node. The algorithm is implemented in java eclipse environment. This paper considered variable byte size and the variable distance. The simulation results showed that the proposed Genetic algorithm extend the network lifetime for random network deployment environments.