Advanced Search
Volume 32 Issue 2
Aug.  2010
Turn off MathJax
Article Contents
Feng Hui-bin, Zhang Shun-yi, Liu Chao, Liu Jue-fu. Novel Network Flow Control Model on Multi-Team Game Theory[J]. Journal of Electronics & Information Technology, 2010, 32(2): 267-271. doi: 10.3724/SP.J.1146.2008.01827
Citation: Feng Hui-bin, Zhang Shun-yi, Liu Chao, Liu Jue-fu. Novel Network Flow Control Model on Multi-Team Game Theory[J]. Journal of Electronics & Information Technology, 2010, 32(2): 267-271. doi: 10.3724/SP.J.1146.2008.01827

Novel Network Flow Control Model on Multi-Team Game Theory

doi: 10.3724/SP.J.1146.2008.01827
  • Received Date: 2008-12-30
  • Rev Recd Date: 2009-06-25
  • Publish Date: 2010-02-19
  • This paper investigates the communication network flow control with strong distributed feature and hierarchical structure, a novel network flow control model is studied by using the multi-team game model, the utility function is built up on flow rate and delay to make user flow satisfy different flow proportional QoS requirement, thus the Min-Max fair flow control game model is constituted by multi-team game optimized model. The existence of the non-inferior Nash equilibrium of the proposed network flow control model is proved theoretically. The correctness of the proposed model is validated by numerical evaluation, simulation result validates the user flow utility value is Pareto optimal at the non-inferior Nash equilibrium point.
  • loading
  • Yang Yue-quan, Cao Zhi-qiang, Tan Min, and Yi Jian-qiang. Fairness and dynamic flow control in both unicast and multicast architecture networks[J].IEEE Transactions on Systems, Man, and CyberneticsPart C: Applications and Reviews.2007, 37(2):206-212[2]Cho Jeong-Woo and Chong Song. Utility max-min flow control using slope-restricted utility functions[J].IEEE Transactions on Communications.2007, 55(5):963-972[3]Abdulla M S and Bhatnagar S. Network flow-control using asynchronous stochastic approximation[C]. Proceedings of the 46th IEEE Conference on Decision and Control, CDC, New Orleans, USA, December, 2008: 5857-5862.[4]Paganini F. A global stability result in network flow control[J].Systems and Control Letters.2002, 46(3):165-172[5]Jin Young-mi and Kesidis G. Charge sensitive and incentive compatible end-to-end window-based control for selfishusers[J].IEEE Journal on Selected Area in Communications.2006, 24(5):952-961[6]Altman E, Basar T, and Srikant R. Nash equilibria for combined flow control and routing in networks: Asymptotic behavior for a large number of users[J].IEEE Transactions on Automatic Control.2002, 47(6):917-930[7]Sahin I and Simaan M A. A flow and routing control policy for communication networks with multiple competitive Users[J].Journal of the Franklin Institute.2006, 343(2):168-180[8]S S Askera. On dynamical multi-team cournot game in exploitation of a renewable resource [J].Chaos, Solitons Fractals.2007, 32(1):264-268[9]Rosen J B. Existence and uniqueness of equilibrium points for concave N-person games[J].Econometrica.1965, 33(3):520-534
  • Cited by

    Periodical cited type(6)

    1. 刘静丽. 基于深度强化学习的网络流量控制与优化算法. 电脑编程技巧与维护. 2025(02): 155-157 .
    2. 王琦,黄宗伟. 基于全监督学习的应急通信网络流量自动控制方法. 自动化技术与应用. 2023(02): 94-97 .
    3. 石红岩. 基于P2P优化策略的网络流量管理. 哈尔滨师范大学自然科学学报. 2017(02): 63-65 .
    4. 张瑞昕,卜方玲,惠毅. 一种适用于多数据链网络的信息过滤转发策略. 计算机工程与应用. 2015(08): 89-91+112 .
    5. 张新刚,孙飞显,王保平. 数字化校园网络流量控制与优化. 实验室研究与探索. 2012(02): 50-53 .
    6. 冯淑媛,赵明,郑志凌. 校园网络流量控制策略的研究. 湖南工业职业技术学院学报. 2011(06): 13-14 .

    Other cited types(1)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3579) PDF downloads(1016) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return