EMCR : Routing in WSN Using Multi Criteria Decision Analysis and Entropy Weights

Abstract

Nowadays wireless sensor networks (WSN) are widely used in diffrent applications. In any network (traditional network or WSNs), route finding is the key support for network transmission technology. In WSN, efficient routing algorithm is very important. But the realization of efficient algorithm is not so easy because of many routing parameters of the network and resource constrained nature of the sensor nodes. This paper proposes an efficient and multi-hoping routing algorithm which is able to choose an efficient route between available routes while considering multiple important criteria for taking routing decisions and at the same time providing balance in energy consumption across all the sensor nodes. This proposed scheme is based on multi-criteria decision analysis, where multiple criteria, such as residual energy, frequency (number of packets received) and hop count are taken into account. Entropy weight method is used to assign the weighted values on each criterion. The best alternative route is selected using Weighted Product Model (WPM). The scheme has been implemented using TinyOS, an event-driven operating system designed for wireless sensor network.