EEVR: Improving Energy Efficiency in Wireless Sensor Networks Using Void Routing Algorithm

Abstract

Wireless Sensor Networks (WSNs) have recently gained popularity owing to developments in ICT and electronics. A network of sensor nodes (SN) or motes carefully deployed in a specific area detects any continually changing physical phenomena. These petite SNs gather and evaluate data before sending it to a base station or sink via radio frequency (RF). The small size of these sensors enables easy integration into any device or setting. Greedy Forwarding (GF) is a lightweight and effective routing technique for WSNs frequently used in data monitoring. The network lifespan reduces the likelihood of encountering a routing vacuum without adding complexity to the protocol; the ideal method is to search for the optimum commutation radius, which puts the network in the best condition. This research proposes Greedy Routing-based Energy Efficient in WSN using void routing algorithm (EEVR) to attain the maximum energy efficiency during routing maintenance. EEVR method increases the lifetime of WSNs. The proposed EEVR is simulated using the NS2 Simulation tool with SN and deployment region. Performance measures for the EEVR include network energy, packet delivery ratio, network energy consumption, throughput, and communication overhead.