RSS based selective clustering technique to improve power utilization in WSN

Abstract

Wireless sensor networks (WSNs) have numerous advantages like easy deployment, scalability, no need of infrastructure etc. Apart these features the main drawback of WSN is limited power capacity of the sensor nodes. Hence nodes are unable to perform communication for long time duration as their limited battery power. Receive signal strength (RSS) is a prime attribute within wireless communication because lower RSS value leads to more power consumption for data transmission. This paper introduces RSS based approach to improve the power utilization of sensor nodes. A Node near to base station transmits data directly without clustering process. A weight parameter calculated for cluster head selection using RSS value of a node and geographic location of the nodes. The propose method works on heterogeneous network like SEP technique. Different power level assign to the sensor node as per distance from base station. The first group of nodes is normal nodes they transmit data directly to the base station. The proposed method balances the energy of all nodes and helps to improve total lifetime of sensor networks. The proposed method performs well compare with existing methods to improve network lifetime and total number of packet transmission.