Energy Aware Optimal Routing for Wireless Sensor Networks

S Chandramathi ,U Anand,Sandhya Sriraman ,T Ganesh,D Velmurugan

doi:10.3844/jcssp.2007.836.840

Abstract

Wireless Sensor Network (WSN) is a collection of autonomous devices with computational, sensing, and wireless communication capabilities. The sensor nodes are low cost, multi-functional devices that are densely deployed either inside the phenomenon or very close to it and are often powered by independent power sources. The lifetime of such sensor nodes show a strong dependence on lifetime of the power source used. So, conservation of power and hence increase the lifetime becomes an important issue in WSNs. Routing in Wireless Sensor Networks, which consumes a considerable amount of energy, offers ample scope in increasing the life time of WSNs. To address this problem an Energy Aware Optimal Routing (EAOR) algorithm, which determines the path that consumes minimum power between the source node and the destination node, is proposed here. The proposed EAOR algorithm performs better in terms of conservation of power compared to the shortest path routing algorithm. This EAOR algorithm is also validated through extensive simulation in various scenarios, like increasing the number of sensor nodes and gateway nodes. The results show that EAOR algorithm performs well for all the scenarios.

Highlights

The scattered sensor nodes which communicate among themselves form an integrated network
This paper suggested that since the Wireless Sensor Network (WSN) were powered by sources like batteries, transmission power control could improve the lifetime of the sensor nodes
It is seen that the 8th path consumes minimum power (1.96mW) with 11 hops and so this path is chosen as the optimum path by the Energy Aware Optimal Routing (EAOR) algorithm

Summary

Introduction

The scattered sensor nodes which communicate among themselves form an integrated network. Such applications need to send sensor information to users or network entities using low-power transceivers since most nodes rely on batteries for their functioning. The remaining portions of the paper are organized as follows: EAOR algorithm is explained, Gateway node discovery procedure follows that, and the section deals with minimum power path determination.

Results

Conclusion