期刊文献+

基于Moran过程的无线网络接入选择方法 被引量:4

Moran Process Based Wireless Network Access Selection Method
原文传递
导出
摘要 提出了一种基于Moran过程的接入网络选择方法,将选择策略的演化过程描述为有限个体间的群体博弈,并证明了每个群体策略演化是一个随机生灭过程.在此基础上,从多策略角度改进了局部更新机制,以揭示选择策略的演化机理.仿真实验结果表明,该方法能在有限演化次数内收敛到纳什均衡解,同时能避免无限群体博弈模型所产生的"乒乓效应". A new approach for multiple wireless networks access selection based on finite Moran process, namely access selection based on finite Moran process (ASFMP) , was proposed, in which the process of selection strategy is described as a finite population game model, and each strategy evolution is proved to be a random birth-death process. The local update mechanism is then improved from a multi-strategy per- spective, which is used to reveal the revolution mechanism of selection strategies. Simulation shows that the proposed method can convergence to Nash equilibrium within finite evolution times, and can also a- void the "Ping-Pong effect" caused by infinite population game.
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2014年第4期10-14,共5页 Journal of Beijing University of Posts and Telecommunications
基金 国家自然科学基金项目(61370212) 教育部博士点基金优先发展领域项目(20122304130002) 黑龙江省自然科学基金项目(ZD 201102 F201037) 中央高校基本科研业务费(HEUCFZ1213 HEUCF100601) 黑龙江省博士后基金项目(LBH-210204)
关键词 网络接入 群体博弈 Moran过程 乒乓效应 network access population game Moran process Ping-Pong effect
  • 相关文献

参考文献6

  • 1Faisal Kaleem,Abolfazl Mehbodniya,Arif Islam,Kang K.Yen,Fumiyuki Adachi.Dynamic Target Wireless Network Selection Technique Using Fuzzy Linguistic Variables[J].China Communications,2013,10(1):1-16. 被引量:7
  • 2Chamodrakas I, Martakos D. A utility-based fuzzy TOP- SIS method for energy efficient network selection in heter- ogeneous wireless networks[ J]. Applied Soft Computing, 2012, 12(7): 1929-1938.
  • 3Farooq B, Victor C M L. Automated network selection in a heterogeneous wireless network environment [ J]. IEEE Network, 2007, 21 ( 1 ) : 3440.
  • 4Swamy C. The effectiveness of stackelberg strategies and tolls for network congestion games[ J]. ACM Transactions on Algorithms, 2012, 8(4): Art. No. 36.
  • 5姜永,胡博,陈山枝.异构无线网络用户网络关联优化:一种基于群体博弈的方法[J].计算机学报,2012,35(6):1249-1261. 被引量:9
  • 6Traulsen A, Claussen J C, Hauert C. Coevolutionary dy- namics: from finite to infinite populations [ J]. Physical Review Letters, 2005, 95 (23) : 1-4.

二级参考文献21

  • 1QUANG B V, PRASAD R V, NIEMEGEERS I. A Survey on Handoffs - Lessons for 60 GHz Based Wireless Systems[J] IEEE Communications Surveys 81 Tutorials, 2012,14(1) 64-86.
  • 2ALKHAWLANI M, AYESH A. Access Network Selection Based on Fuzzy Logic and Genetic Algorithms!.!]. Advances in Artificial Intelligence, 2008, 8(1): 1-12.
  • 3HORRICH S, BEN JAMAA S, GODLEWSKI P. Neural Networks for Adaptive Vertical Handover Decision[C]// Proceedings of the 5th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks and Workshops: April 16-20, 2007, Limassol, Cyprus, 2007:1-7.
  • 4DHAR S, RAY A, BERA R. Design and Simulation of Vertical Handover Algorithm for Vehicular Communication^]. International Journal of Engineering Science and Technology,2010, 2(10): 5509-5525.
  • 5DHAR S, RAY A, BERA R. A Context Aware Vertical Handoff Algorithm for Vehicular Com-munication[J]. International Journal of Electronics, Computer and Communications Technologies, 2011, 2(1): 24-34.
  • 6SGORA A, VERGADOS D D, CHATZIMISIOS P. An Access Network Selection Algorithm for Heterogeneous Wireless Environments[C]// Proceedings of the 2010 IEEE Symposium on in Computers and Communications (ISCC): June 22-25, 2010, Riccione, Italy, 2010: 890-892.
  • 7ZHANG Wenhui. Handover Decision Using Fuzzy MADM in Heterogeneous Net-works[C]// Proceedings of the 2004 IEEE Wireless Communications and Networking Conference: March 21-25, 2004, Atlanta, GA, 2004: 653-658.
  • 8CHAMODRAKAS I, MARTAKOS D. A Utility-Based Fuzzy TOPSIS Method for Energy Efficient Network Selection in Heterogeneous Wireless Networks[J]. Applied Soft Computing, 2011,11(4): 3734-3743.
  • 9GHAREHGOZLIA H, TAVAKKOLI-MOGHADDAM R, RABBANI M, et al. Acceptance/Rejection of Incoming Orders by a Fuzzy Analytical Hierarchy Process in Make-to-Order Environ-ments[C]// Proceedings of the 8th WSEAS International Conference on Fuzzy Systems: June 18-20, Vancouver, Canada, 200: 202-207.
  • 10LIN H T, CHANG Wenling. Order Selection and Pricing Methods Using Flexible Quantity and Fuzzy Approach for Buyer Evaluation[J].European Journal of Operational Research, 2008, 187(2): 415-428.

共引文献14

同被引文献41

  • 1王先甲,全吉,刘伟兵.有限理性下的演化博弈与合作机制研究[J].系统工程理论与实践,2011,31(S1):82-93. 被引量:152
  • 2张宏礼,张鸿雁.关于最大信息熵原理与群体遗传平衡一致性的探讨[J].遗传,2006,28(3):324-328. 被引量:27
  • 3张鸿雁,张宏礼,郭满才,袁志发.不同交配方式下遗传平衡的信息学分析[J].浙江大学学报(农业与生命科学版),2006,32(5):515-519. 被引量:14
  • 4FUDENBERGD TIROLEJ.博弈论[M].北京:中国人民大学出版社,2002..
  • 5MARTINA,NOWAKMA.进化动力学-探索生命的方程[M].北京:高等教育出版社,2010.
  • 6Moran P A. Random processes in genetics [J]. P. Camb. Philos., 1958,54 : 60-71.
  • 7YICK J, MUKHERJEE B, GHOSAL D. Wireless sensor network survey[J]. Computer networks, 2008, 52( 12): 2292-2330.
  • 8CHENG D, XU T, QI H. Evolutionarily stable strategy of networked evolutionary games [J]. IEEE transactions on neural networks and learning systems, 2014, 25(7) :1335-1345.
  • 9EL-AZOUZI R, De PELLEGRINI F, SIDI H B A, et al. Evolutionary forwarding games in delay tolerant networks: Equilibria, mechanism design and stochastic approximation[ J ]. Computer Networks, 2013, 57(4) : 1003-1018.
  • 10FARZANEH N, YAGHMAEE M H. An adaptive competitive resource control protocol for alleviating congestion in Wireless Sensor Networks: An evolutionary Game Theory approach [ J ]. Wireless Personal Communications, 2015,82( 1 ) : 123-142.

引证文献4

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部