Title :
A framework for optimal battery management for wireless nodes
Author :
Adamou, Maria ; Sarkar, Saswati
Author_Institution :
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
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 also present a simple discharge strategy which can be executed online without any table lookup, and attains near maximum battery lifetime. Finally, we use state space reduction techniques to approximate the optimal computation in significantly lower complexity.
Keywords :
cells (electric); computational complexity; optimisation; radio networks; table lookup; approximation algorithm; battery characteristics; node lifetime; optimal battery management; optimal computation complexity; optimal discharge; state space reduction; table lookup; transmission power; wireless networks; wireless nodes; Battery management systems; Energy efficiency; Energy management; Engineering management; Information science; Power engineering computing; Stochastic processes; Table lookup; Traffic control; Wireless networks;
Conference_Titel :
INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Print_ISBN :
0-7803-7476-2
DOI :
10.1109/INFCOM.2002.1019432