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Aidan Walton's Publications

QoI-Aware Energy Management for Wireless Sensor Networks
Citation key LHBY-QIAEMWSN-11
Author Liu, Chi Harald and Hui, Pan and Branch, Joel W. and Yang, Bo
Title of Book IEEE PerCom Workshop on Information Quality and Quality of Service for Pervasive Computing (IQ2S '11), in IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
Pages 8–13
Year 2011
ISBN 978-1-61284-938-6
Online ISBN 978-1-61284-936-2
DOI http://dx.doi.org/10.1109/PERCOMW.2011.5766978
Location Seattle, WA, USA
Address New York, NY, USA
Month March
Note Invited Paper
Publisher IEEE
Abstract In this paper, we propose an efficient energy-management framework in wireless sensor networks (WSNs) to address the fundamental research challenge imposed by both the maintenance of the energy supply and the support of the quality-of-information (QoI) requirements. By quantifying the QoI benefit the tasks receive in relation to the level of QoI they request as the QoI satisfaction index), we propose a QoI-aware energy-management scheme to distributedly decide the participating state of each sensor. Specifically, by using the mathematical framework of the Gur Game, we propose a novel pay-off structure taking into account the QoI and the energy consumption. We finally evaluate the proposed scheme under an event occurrence detection scenario, where the proposed scheme successfully guarantees less than 7\% QoI outage, saves 80\% of the energy reserve if compared with the lower bound solution, and achieves the suboptimum with only 4\% gap if compared with optimal solution.
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