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Constructing Battery-Aware Virtual Backbones in Wireless Sensor Networks

EURASIP Journal on Wireless Communications and Networking volume 2007, Article number: 040154 (2007) Cite this article

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 mostopt 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.

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Authors and Affiliations

  1. Department of Computer Science, Stony Brook University, Stony Brook, NY, 11794, USA

    Chi Ma

  2. Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, 11794, USA

    Yuanyuan Yang

  3. Department of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213-3891, USA

    Zhenghao Zhang

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  1. Chi Ma
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  2. Yuanyuan Yang
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  3. Zhenghao Zhang
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Correspondence to Chi Ma.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ma, C., Yang, Y. & Zhang, Z. Constructing Battery-Aware Virtual Backbones in Wireless Sensor Networks. J Wireless Com Network 2007, 040154 (2007). https://doi.org/10.1155/2007/40154

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