Publication

Abstract : Wireless sensor network is a collection of numerous compatible sensor nodes which are deployed in a random manner to study the phenomena for variety of applications such as disaster management, environment and medical monitoring. The energy consumption is an important challenge in WSN. Many protocols are developed to enhance the energy management of which cluster based protocols play a vital role in solving the problem of efficient energy utilization. In order to achieve the better energy management, we have proposed a novel protocol energy efficient clustering and aggregator node selection (EECAS) for better data gathering and longevity of the network. The aggregator node (AGN) is selected based on node which is having minimum distance between node and base station. The cluster head selection is based on Energy efficient cluster head selection algorithm which considers the highest residual energy, high probability weight and minimum distance between chosen node and AGN. The proposed protocol considers transmission cost, optimal energy consumption among cluster head and AGN. The simulation results have shown that the performance of EECAS is better than the existing algorithms such as energy efficient cluster head rotation and relay node selection, energy aware and density based clustering and relaying protocol and improved energy efficient energy adaptive clustering hierarchy with respect to the number of alive nodes, average residual energy and total number of packets received by base station.