Improving Energy Efficiency Using LEARN Algorithm for Wireless Sensor Networks

Abstract

A number of energy-aware routing protocols were proposed to seek the energy efficiency of routes in Multihop wireless networks. Among them, several geographical localized routing protocols were proposed to help making smarter routing decision using only local information and reduce the routing overhead. However, all proposed localized routing methods cannot guarantee the energy efficiency of their routes. In this article, we first give a simple localized routing algorithm, called Localized Energy-Aware Restricted Neighbourhood routing (LEARN), which can guarantee the energy efficiency of its route if it can find the route successfully. The critical transmission radius in random networks which can guarantee that LEARN routing finds a route for any source and destination pairs asymptotically almost surely. So by using LEARN algorithm the energy efficient of the source and destination pair is thus may be maintained and the attacks occurs in the wireless network can also be reduced. One can also extend the proposed routing into three-dimensional (3D) networks and derive its critical transmission radius in 3D random networks.