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EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Wireless Communications and Networking Cover Image
  • Research Article
  • Open Access

Constructing Battery-Aware Virtual Backbones in Wireless Sensor Networks

EURASIP Journal on Wireless Communications and Networking20072007:040154

https://doi.org/10.1155/2007/40154

©  Chi Ma et al. 2007

  • Received: 14 October 2006
  • Accepted: 13 March 2007
  • Published:

Abstract

A critical issue in battery-powered sensor networks is to construct energy efficient virtual backbones for network routing. Recent study in battery technology reveals that batteries tend to discharge more power than needed and reimburse the over-discharged power if they are recovered. In this paper we first provide a mathematical battery model suitable for implementation in sensor networks. We then introduce the concept of battery-aware connected dominating set (BACDS) and show that in general the minimum BACDS (MBACDS) can achieve longer lifetime than the previous backbone structures. Then we show that finding a MBACDS is NP-hard and give a distributed approximation algorithm to construct the BACDS. The resulting BACDS constructed by our algorithm is at most opt size, where is the maximum node degree and opt is the size of an optimal BACDS. Simulation results show that the BACDS can save a significant amount of energy and achieve up to longer network lifetime than previous schemes.

Keywords

  • Information System
  • Sensor Network
  • Wireless Sensor Network
  • Approximation Algorithm
  • System Application

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Authors’ Affiliations

(1)
Department of Computer Science, Stony Brook University, Stony Brook, NY 11794, USA
(2)
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA
(3)
Department of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3891, USA

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Copyright

© Chi Ma et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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