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作 者:Guofang Nan Zhifei Mao Minqiang Li
机构地区:[1]Institute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, E R. China [2]Department of Information Management and Management Science, Tianjin University, Tianjin 300072, E R. China
出 处:《Journal of Systems Engineering and Electronics》2012年第2期216-224,共9页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China (70701025;71071105);the Program for New Century Excellent Talents in Universities of China (NCET-08-0396);the National Science Fund for Distinguished Young Scholars of China (70925005);the Program for Changjiang Scholars and Innovative Research Team in University (IRT/028)
摘 要:Power efficiency and link reliability are of great impor- tance in hierarchical wireless sensor networks (HWSNs), espe- cially at the key level, which consists of sensor nodes located only one hop away from the sink node called OHS. The power and admission control problem in HWSNs is comsidered to improve its power efficiency and link reliability. This problem is modeled as a non-cooperative game in which the active OHSs are con- sidered as players. By applying a double-pricing scheme in the definition of OHSs' utility function, a Nash Equilibrium solution with network properties is derived. Besides, a distributed algorithm is also proposed to show the dynamic processes to achieve Nash Equilibrium. Finally, the simulation results demonstrate the effec- tiveness of the proposed algorithm.Power efficiency and link reliability are of great impor- tance in hierarchical wireless sensor networks (HWSNs), espe- cially at the key level, which consists of sensor nodes located only one hop away from the sink node called OHS. The power and admission control problem in HWSNs is comsidered to improve its power efficiency and link reliability. This problem is modeled as a non-cooperative game in which the active OHSs are con- sidered as players. By applying a double-pricing scheme in the definition of OHSs' utility function, a Nash Equilibrium solution with network properties is derived. Besides, a distributed algorithm is also proposed to show the dynamic processes to achieve Nash Equilibrium. Finally, the simulation results demonstrate the effec- tiveness of the proposed algorithm.
关 键 词:hierarchical network power control admission con- trol game theory double-pricing scheme.
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