Departmental Papers (ESE)


The focus of this paper is to extend the lifetime of a battery powered node in wireless context. The lifetime of a battery depends on both the manner of discharge and the transmission power requirements. We present a framework for computing the optimal discharge strategy which maximizes the lifetime of a node by exploiting the battery characteristics and adapting to the varying power requirements for wireless operations. The complexity of the optimal computation is linear in the number of system states. However, since the number of states can be large, the optimal strategy can only be computed offline and executed via a table lookup. We present a simple discharge strategy which can be executed online without any table lookup and attains near maximum lifetime.

Document Type

Journal Article

Date of this Version

February 2003


Copyright 2003 IEEE. Reprinted from IEEE Journal on Selected Areas in Communications, Volume 21, Issue 2, February 2003, pages 179-188.
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Battery, scheduling, wireless



Date Posted: 15 November 2004

This document has been peer reviewed.