基于非合作博弈的WBANs功率控制算法

doi:10.16182/j.issn1004731x.joss.201804048

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (4): 1601-1607.doi: 10.16182/j.issn1004731x.joss.201804048

基于非合作博弈的WBANs功率控制算法

许勇, 柯梦雅, 刘芬, 查千明

安徽师范大学数学计算机科学学院,安徽芜湖 241000

收稿日期:2016-04-28 修回日期:2017-01-11 出版日期:2018-04-08 发布日期:2019-01-04
作者简介:许勇(1966-),男,安徽六安,博士,教授,研究方向为无线传感器网络协议与安全;柯梦雅(1993-),女,安徽宿州,硕士生,研究方向为无线传感网。
基金资助:
安徽省自然科学基金(11040606M137)

Power Control Algorithm Based on Non-cooperative Game Theory of WBANs

Xu Yong, Ke Mengya, Liu Fen, Zha Qianming

School of Mathematics and Computer Science, Anhui Normal University, Wuhu 241000, China

Received:2016-04-28 Revised:2017-01-11 Online:2018-04-08 Published:2019-01-04

摘要/Abstract

摘要： 针对基于TDMA媒体访问控制方式的无线体域网间干扰模型,利用非合作博弈自适应功率控制算法对体域网中的用户进行功率分配。该算法为用户构造了由收益函数和代价函数所表示的效用函数模型,根据最佳响应策略的迭代方案获得功率控制的纳什均衡策略,使体域网中所有用户的效用函数达到最优化。通过Matlab对不同参数的情况进行仿真,与传统的功率分配方案K-G相比,仿真结果表明,基于非合作博弈自适应功率控制算法有较好的收敛性,当价格因子在3.5-6.9时,体域网的总体效能提高。

关键词: 无线体域网, 功率控制算法, 非合作博弈, 网间干扰

Abstract: A non-cooperative self-adaptive power control algorithm is proposed based on the model of TDMA wireless body area networks (WBANs) interference. The algorithm is put forward using payoff function and cost function as utility functions.The transmitting power vector is obtained by the optimal response strategy update. It is proved that the network can reach Nash Equilibrium with the transmitting power vector, and in this situation all the users’ utility function is maximized. The Matlab is applied to simulation process of the algorithm, during which simulation has been carried out with different parameters. Compared with the traditional allocation scheme K-G, results show that algorithm based on the non-cooperative game theory has a very good astringency. Performance of the system can be improved through the selection of the price factor between 3.5 and 6.9.

Key words: wireless body area networks (WBANs), power control algorithm, non-cooperative game, interference

中图分类号:

TP393

许勇, 柯梦雅, 刘芬, 查千明. 基于非合作博弈的WBANs功率控制算法[J]. 系统仿真学报, 2018, 30(4): 1601-1607.

Xu Yong, Ke Mengya, Liu Fen, Zha Qianming. Power Control Algorithm Based on Non-cooperative Game Theory of WBANs[J]. Journal of System Simulation, 2018, 30(4): 1601-1607.

参考文献

[1] Riccardo Cavallari, Flavia Martelli.A Survey on Wireless Body Area Networks: Technologies and Design Challenges[J]. IEEE Communications Surveys & Tutorials (S1553-877X), 2014, 36(3): 1635-1657.
[2] 卢先玲, 彭能明, 卢胜男, 等. 无线体域网节能策略综述[J]. 计算机应用研究, 2013, 30(2): 325-329.
Lu X L, Peng N M, Lu S N, et al.Survey of energy- efficient strategy for wireless body area network[J]. Application Research of Computers, 2013, 30(2): 325-329.
[3] 刘毅, 宋余庆. 无线体域网技术研究[J]. 小型微型计算机系统, 2013, 34(8): 1758-1762.
Liu Y, Song Y Q.Study on Wireless Body Area Networks[J]. Journal of Chinese Computer Systems, 2013, 34(8): 1758-1762.
[4] 居征与, 喻剑. 面向无线体域网的低功耗多频道MAC协议[J]. 小型微型计算机系统, 2016, 37(1): 78-82.
Ju Z Y, Yu J.Multi-channel Energy Efficiency MAC for Wireless Personal Area Network[J]. Journal of Chinese Computer Systems, 2016, 37(1): 78-82.
[5] 宫继兵, 王睿, 崔莉. 体域网BAN的研究进展及面临的挑战[J]. 计算机应用研究, 2010, 47(5): 737-753.
Gong J B, Wang R, Cui L, et al.Research Advances and Challenge of Body Sensor Network[J]. Journal of Computer Research and Development, 2010, 47(5): 737-753.
[6] Yates R D.A framework for uplink power control in cellular radio systems[J]. Selected Areas in Communications(S0733-8716), 1995, 13(7): 1341-1347.
[7] 孙绪宝, 王世范. CDMA通信系统自适应功率控制仿真的研究[J]. 系统仿真学报, 2007, 19(5): 1136-1147.
Sun X B, Wang S F.Study on Adaptive Power Control Simulations for CDMA Systems[J]. Journal of System Simulation, 2007, 19(5): 1136-1147.
[8] Xiao M, Shroff N B, Chong E K P. A utility-based power-control scheme in wireless cellular systems[J]. IEEE/ACM Transactions on Networking(S1063-6692), 2003, 11(2): 210-221.
[9] Wang L, Goursaud C, Nikaein N, et al.Cooperative scheduling for coexisting body area networks[J]. IEEE Transactions on Wireless Communications(S1536-1276), 2013, 12(1): 123-133.
[10] Yang W B, Sayrafian-Pour K.Interference Mitigation Using Adaptive Schemes in Body Area Networks[J]. International Journal of Wireless Information Networks (S1068-9605), 2012, 19(3): 193-200.
[11] Zhang Z, Wang H, Wang C, et al.Interference Mitigation for Cyber-Physical Wireless Body Area Network System Using Social Networks[J]. IEEE Transactions on Emerging Topics in Computing(S2168-6750), 2013, 1(1): 121-132.
[12] 王志军, 胡封晔, 尹颖奇, 等. 基于无线体域网的传输功率控制和调度算法[J]. 通信学报, 2015, 36(10): 271-277.
Wang Z J, Hu F Y, Yin Y Q, et al.Transmission power control and scheduling algorithm in wireless body area networks[J]. Journal on Communications, 2015, 36(10): 271-277.
[13] Koskie S, Gajic Z.A Nash Game Algorithm for SIR-based Power Control in 3G Wireless CDMA Networks[J]. IEEE Transactions on Communication (S1063-6692), 2005, 13(5): 1017-1026.
[14] Fienberg D, Tirol J.Game Theory [M]. Cambridge, USA: MIT Press, 1991.
[15] Hanlen L W, Miniutti D, Rodda D, et al.Interference in body area networks[C]//Personal, indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on IEEE, 2009: 281-285.
[16] 曾加. 基于博弈论的无线数据网络功率控制研究[D]. 北京: 清华大学, 2006.
Zeng J.Power Control on Game in Wireless Sensor Networks [D]. Beijing: Tsinghua University, 2006.

基于非合作博弈的WBANs功率控制算法

Power Control Algorithm Based on Non-cooperative Game Theory of WBANs

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	魏翔宇, 张琪. 基于非合作博弈的路网对抗行为建模研究[J]. 系统仿真学报, 2021, 33(2): 271-279.
[2]	马忠贵, 班莎, 陈桂梅, 陈林旗. 认知无线网络自适应功率控制博弈算法[J]. 系统仿真学报, 2015, 27(3): 584-590.