Cooperative Game Theoretic Approach to Energy-Efficient Coverage in Wireless Sensor Networks

Cuong D. Truong, Manzoor Ahmed Khan, Fikret Sivrikaya, Sahin Albayrak


Energy efficiency and sensing accuracy have both been attractive research fields in sensor networks. Achieving both objectives is possible in a compromise model. In this paper we formulate one such problem and use a game theoretic approach for its solution. The interaction between sensor nodes is modeled as a cooperative bargaining game, where individual sensors cooperate for achieving the application sensing requirements while minimizing and balancing the energy consumption. We use Kalai-Smordinsky Bargaining Solution to find a distribution rule that optimizes the trade-off in the compromise problem. Based on the distribution rule, we propose a lightweight distributed algorithm in order to schedule nodes for performing the sensing task. Simulation shows a superiority in terms of scalability over a similar earlier work, while a comparable achievement in network lifetime improvement is obtained at the same time.

Original languageEnglish
Title of host publication2010 Seventh International Conference on Networked Sensing Systems (INSS)
Number of pages4
Publication date12.11.2010
Article number5573658
ISBN (Print)978-1-4244-7911-5
ISBN (Electronic)978-1-4244-7910-8
Publication statusPublished - 12.11.2010
Event7th International Conference on Networked Sensing Systems, INSS 2010
- Kassel, Germany
Duration: 15.06.201018.06.2010
Conference number: 82145


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