EFFICIENT ENERGY SAVING AND DATA COLLECTION IN WIRELESS SENSOR NETWORKS

Abstract

Energy efficiency operations are essential in increasing the lifetime of Wireless Sensor Networks. Clustering sensor nodes is an energy saving based interesting technique for achieving these goals. The main challenge in wireless sensor network is to optimize energy consumption when collecting data from sensor nodes. Efficiently collecting the data in wireless sensor networks plays a key role in power conservation. In this paper, a new energy-efficient approach for clustering nodes in adhoc sensor networks is proposed to collect data from sensor nodes and to reduce energy consumption using modified tabu search method, which enables with low communication cost. Dynamic Tabu search uses a local or neighborhood search procedure to iteratively move from a solution x to a solution x' in the neighborhood of x, until some stopping criterion has been satisfied. Communication between the distributed cluster heads is to be achieved by low cost. This approach is suitable to avoid the energy wastage during the transmission and to prolong the lifetime of sensor networks. The MNL (Maximising Network Lifetime) algorithm is being added to prolong the life time of the distributed network. NS-2 is used to perform the progress. The performance of distributed approach is to be compared with the centralized clustering approach using Dynamic modified tabu search.