Ecology, Environment and Conservation Paper

IMPROVING ENERGY PROFICIENCY AND TRUST WORTHINESS FOR POWER PLANT MONITORING IN WSN

Sathiyaseelan Rathinavel

Abstract

The nuclear power acting a significant role in the force delivers the present world. In several countries new nuclear power plants are not deserted but taken with more care. Thus, it is increasingly vital for to make a reliable and efficient nuclear supervising system. In this paper, a new energy proficient and trustworthiness concept is proposed for nuclear radiation detection and supervising system based on Wireless Sensor Network (WSN). Data aggregation is used to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. Data aggregation protocols aims at eliminating redundant data transmission. Power consumption is an important aspect to be considered in the data aggregation which is a scarce resource and they are irreplaceable. In addition to power consumption, reliability is also of major concern in data aggregation. Initially clusters are formed and a coordinator node is selected near the cluster in order to monitor the nodes in the cluster. Data is transmitted from the source to destination successfully. Simulation analysis shows that the proposed method performs better results for monitoring power plant environment.