Adapting Wireless Sensors Network for Preserving Energy using HEAP (Powered by Ambient Energy Harvesting)

Abstract

Applications based on Wireless Sensor Networks (WSN) require unlimited battery life for empowering sensor nodes because it is hard to replace batteries deployed on vicious areas. This project aims at prolonging the WSN operational lifetime through the Energy harvesting techniques appointing on ambient energy such as vibrational, solar, piezoelectric and thermal etc. Energy harvesters are used with sensor nodes to extract energy through environment for reliable transmission of data among sensor nodes. The use of energy harvesters in WSN results in different network challenges such as data loss and retransmission. The proposed solution “context awared region based clustering algorithm” addresses the issues of retransmission and data losses by making hybrid of regioning and clustering techniques, resulting in highly efficient and effective network. Context awared region based clustering algorithm arranges the nodes in different clusters and organize them in different regions made by transmission range of sensor nodes. Simulation result shows that proposed protocol is highly effective for network behaviour having improvements in Throughput and delay, gives better results than Hybrid Energy Efficient Distributed (HEED) protocol by avoiding data loss. Simulation depicts better performance than traditional clustering algorithm of WSN because 80% nodes are alive when nodes used proposed protocol. Simulation results are created using. Simulation results of proposed protocol are compared with the HEED protocol and found to be agreeing well.