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A Fuzzy Energy-based extension to AODV routing | IEEE Conference Publication | IEEE Xplore

A Fuzzy Energy-based extension to AODV routing


Abstract:

Ad hoc wireless networks are power constrained since nodes operate with a limited battery energy. To maximize the lifetime of these networks, transactions through mobile ...Show More

Abstract:

Ad hoc wireless networks are power constrained since nodes operate with a limited battery energy. To maximize the lifetime of these networks, transactions through mobile nodes must be controlled such that the power dissipation rates of all nodes are rarely the same. This paper presents a fuzzy extension to ad hoc on demand distance vector routing protocol with power considerations. The path selected by conventional AODV routing protocol is not the optimal path because AODV selects the first path that has been found which is not necessarily the best. Routing optimality affects the network performance, especially when the load is high. Longer route consumes more bandwidth, produces more delay, and is more prone to disconnections. Fuzzy energy-based AODV (FE-AODV) is a technique that monitors the routes and tries to select the optimal route on the basis of the minimum bandwidth and hop count of each route. It also tries to increase the network life time so that the power dissipation rates of all nodes are rarely the same. The proposed fuzzy logic method is evaluated and compared with conventional method using NS2.
Date of Conference: 27-28 August 2008
Date Added to IEEE Xplore: 14 October 2008
ISBN Information:
Conference Location: Tehran, Iran

I. Introduction

Mobile Ad hoc Networks (MANETs) are a collection of mobile nodes that are dynamically and arbitrarily located in such a manner that the interconnections between the nodes are capable of changing on a continual basis. Each node can operate as a host as well as a router. Due to the limited transmission range of the nodes, the distant nodes intercommunicate through multi-hop paths. The main features of MANETs are ease of deployment and absence of the need for any infrastructure and it makes ideal network for many applications [1]. Examples of such applications are conferencing, interactive information sharing, telemedicine, file transfer and warfare situations, where setting up of infrastructure is very difficult. Challenges to MANETs include changing network topology, a limited transmission range, low availability of bandwidth due to wireless environment and consumption of higher control packets for establishing and maintaining [2].

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References

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