Title :
Toward High-Payoff Nash Equilibria for Interference Game between Body Area Networks
Author :
Lusheng Wang ; Qingfeng Zhou ; Hai Lin
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
Abstract :
Interference between adjacent body area networks (BANs), leading to dramatic performance degradation of the whole system, is always an unsolved issue. In this paper, we study the interference game in which BANs adjust their resource allocation strategies to avoid putting highly interfering sensors into the same time slots. Dickhaut-Kaplan algorithm is used to enumerate all the Nash equilibria (NE) of the game between 2 BANs with 3 sensors each. We find that a number of NE with different payoffs usually exist. This study motivates us to design algorithm for achieving high-payoff NE in the future work.
Keywords :
body area networks; game theory; radiofrequency interference; resource allocation; BAN; Dickhaut-Kaplan algorithm; NE; body area network; high-payoff Nash equilibria; interference game; resource allocation; sensor; Algorithm design and analysis; Body area networks; Games; Interference; Resource management; Sensors; Synchronization; Body area Network; Dickhaut-Kaplan algorithm; Inter-BAN interference; Nash equilibria; two-person game;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location :
Beijing
DOI :
10.1109/CyberC.2013.80
