Energy Conscious DSR in MANET

Abstract

Now days, the versatile use of Mobile Ad Hoc Networks (MANET) have elicited everyone's attention and offer a lot of challenges to the researchers. Due to many salient features of MANET and the absence of base stations or central coordinators, all the actions are been played by the individual node. One of the major responsibility is routing which has to be taken up by the node only, hence the routing mechanism is been incorporated in the node itself. Usually routing protocols play a very serious role in navigating the packets through many intermediate nodes from source to destination. Hence it is a very costly process which consumes a lot of power. But many traditional routing protocols don't concern about the energy consumption of the individual node and they select the path on the basis of minimum hop count. Very often the minimum hop count leads to high power consumption. And as the traditional routing protocol don't bother about the node residual energy, in any time if a single intermediate node dies out of energy then the whole communication may be interrupted due to network partition which may also increase the number of retransmission of packet, packet loss, consume high bandwidth and hence gives poor performance. Because all these nodes are operated by the limited battery power it has to be used efficiently so that the life time of the network can be enhanced without degrading the performance. In this paper we have proposed an Energy Conscious routing protocol by modifying one of the most popular routing protocols that is Dynamic Source Routing (DSR) protocol which is not at all concerned about power consumption. This Energy conscious DSR (ECDSR) uses the basic concept of traditional DSR and imposes it's two importance characteristics as Energy saving and Energy Survival in DSR, through which it not only enhances the life time of the network but also increases the overall performance of the networks. We have validated our proposed protocol through ns-2.34 and evaluated the performance of the networks considering few energy metrics. We found that our proposed method ECDSR outperforms DSR in the performance analysis.