NDLI: OLEAR: Optimal Localized Energy Aware Routing in Mobile Ad Hoc Networks

Content Provider	IEEE Xplore Digital Library
Author	Haque, I.T. Assi, C.
Copyright Year	2006
Description	Author affiliation: Department of Computing Science, University of Alberta, Edmonton, Canada. email: israat@cs.ualberta.ca (Haque, I.T.) \|\| Concordia Institute for Information Systems Engineering, Concordia University, Montréal, Québec, Canada. email: assi@ciise.concordia.ca (Assi, C.)
Abstract	We consider the problem of localized energy aware routing in mobile ad hoc networks. In localized routing algorithms, each node forwards a message based on the position of itself, its neighbors and the destination. The objective of energy aware routing algorithms is to minimize the total power for routing a message from source to destination or to maximize the total number of routing tasks that a node can perform before its battery power depletes. In this paper we propose a new localized energy aware routing algorithm called OLEAR. The algorithm shows a high packet delivery rate with low packet forwarding and battery power consumption. In addition, it ensures a good energy distribution among the nodes and packets reach their destinations using smaller number of hops. All these properties make our algorithm suitable for routing in any energy constrained environment. We compare the performance of OLEAR with existing energy and non energy aware localized algorithms. Simulation experiments show that OLEAR presents comparable energy consumption and distribution to other energy aware algorithms and better packet delivery rates.
Starting Page	3548
Ending Page	3553
File Size	284370
Page Count	6
File Format	PDF
ISBN	1424403553
ISSN	81649547
DOI	10.1109/ICC.2006.255622
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-11
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Routing Mobile ad hoc networks Batteries Partitioning algorithms Computer networks Energy consumption Information systems Power engineering and energy Systems engineering and theory Modeling
Content Type	Text
Resource Type	Article

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