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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 398460, 10 pages
Research Article

Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory

1School of Information Science and Engineering, Hunan University, Changsha 410082, China
2Central China Normal University, Wuhan 430079, China

Received 29 September 2012; Revised 6 December 2012; Accepted 10 December 2012

Academic Editor: Nianbo Liu

Copyright © 2012 Juan Luo et al. 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.


A game theoretic method was proposed to adaptively maintain the energy efficiency in distributed wireless sensor networks. Based on a widely used transmission paradigm, the utility function was formulated under a proposed noncooperative framework and then the existence of Nash Equilibrium (NE) has been proved to guarantee system stability. To pursuit NE, an NPC algorithm was proposed to regulate heterogeneous nodes with various communication demands given the definition of urgency level. Results from both simulation and real testbed presented the robustness and rapid convergence of NPC algorithm. Furthermore, the network performance can remain in a promising state while the energy consumption is greatly decreased.