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Efficient Network Management for Context-Aware Participatory Sensing
Citation key LHBBY-ENMCAPS-11
Author Liu, Chi Harold and Hui, Pan and Bisdikian, Chatschick and Branch, Joel W.W. and Yang, Bo
Title of Book Proceedings of 8th IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON '11)
Pages 116–124
Year 2011
ISBN 978-1-4577-0094-1
ISSN 2155-5486
DOI http://dx.doi.org/10.1109/SAHCN.2011.5984882
Location Salt Lake City, UT, USA
Address New York, NY, USA
Month June
Publisher IEEE
Abstract Participatory sensing is becoming more popular with the help of sensor-embedded smartphones to retrieve context-aware information for users. However, new challenges arise for the maintenance of the energy supply, the support of the quality-of-information (QoI) requirements, and the generation of maximum revenue for network operator, but with sparsely research exposure. This paper proposes a novel efficient network management framework to tackle the above challenges, where four key design elements are introduced. First is the QoI satisfaction index, where the QoI benefit the queries receive is quantified in relation to the level they require. Second is the credit satisfaction index, where the credits are used by the network operator to motivate the user participation, and this index is to quantify its degree of satisfaction. Third is the Gur Game-based distributed energy control, where the above two indexes are used as inputs to the mathematical framework of the Gur Game for distributed decision-making. Fourth is the dynamic pricing scheme, based on a constrained optimization problem to allocate credits to the participants while minimizing the necessary adaptation of the pricing scheme from the network operator. We finally evaluate the proposed scheme under an event occurrence detection scenario, where the proposed scheme successfully guarantees less than 7% detection 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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