Energy-Adaptive Routing in Energy-HarvestingWireless Sensor Networks

Abstract

Wireless sensor networks are unique networks which is easily characterized by their limited power supply, ubiquitous networking and deployment of remote and hostile area. The applications of wireless sensor networks comprise a wide variety of scenarios. Energy is a main issue in wireless sensor networks (WSN) that function on limited power supplies like batteries. E cient energy utilization is a promising area of research now-a-days. Recent advances in wireless sensor networks have led to many new routing protocols speci cally designed for sensor networks where energy awareness is an essential design issue. Energy harvesting technique has prolonged the lifetime of the network but it can't ensure perpetual network Lifetime of the network. Signi cant role of route selection strategy in assurance of perpetual network operation in EH-WSNs has inspired us to design an e cient routing for EH-WSNs to meet desired objective. Assurance of both maximized network remaining energy and balanced energy depletion are two promising requisites to have perpetual network operation. Our proposed routing consists of a set of e cient routing metrics with an adaptive protocol compatible with this metric called Energy Adaptive Routing (EAR) minimizes the wastage of energy in network with minimum overhead and maximizes the total network remaining energy. Simulation results show that EAR greatly outperforms other routing metrics and protocols in the challenging EH-WSN environment. We propose a routing for periodic environment where route will take decision distributively and choose route with a probabilistic model. Rapid degradation of best path has overcome here and maintain a perpetual network lifetime.