计算机应用 ›› 2011, Vol. 31 ›› Issue (12): 3169-3173.

• 网络与通信 •    下一篇

基于贝叶斯博弈模型的无线多跳网络激励机制

许力,陈心瑜,陈志德   

  1. (福建师范大学 数学与计算机科学学院,福州 350007)
  • 收稿日期:2011-05-04 修回日期:2011-06-30 发布日期:2011-12-12 出版日期:2011-12-01
  • 通讯作者: 许力
  • 基金资助:

    国家自然科学基金资助项目

Incentive strategy based on Bayesian game model in wireless multi-hop network

XU Li,CHEN Xin-yu,CHEN Zhi-de   

  1. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou Fujian 350007,China
  • Received:2011-05-04 Revised:2011-06-30 Online:2011-12-12 Published:2011-12-01
  • Contact: XU Li

摘要: 节点智能性的提高使无线多跳网络的应用更为多样化,但也使网络的安全问题变得更为突出。为了有效控制自私节点和恶意节点给网络带来的不良影响,在博弈论的基础上结合跨层优化思想,构建了物理层与链路层部分信息共享的贝叶斯博弈模型。利用贝叶斯博弈理论对节点的交互信息构建策略空间并进行推导分析,形成有效激励节点合作的互监督机制。最后,分别通过典型案例与计算机仿真实验验证了该网络模型的可行性和公平性。

关键词: 无线多跳网络, 激励机制, 贝叶斯博弈, 跨层设计

Abstract: The enhancement of nodes intelligence causes more applications for the wireless multi-hop networks. The security problem also becomes more crucial. In order to prevent the adverse effects of the selfish nodes or malicious nodes, this paper proposes a cross-layer mechanism based on the game theory. A Bayesian game model is developed for the information sharing between the physical layer and the link layer. Apply the Bayesian game model to derive and analyze the mutual information among nodes and form an effective mutual supervision incentive for the node cooperation. The effectiveness of the proposed Bayesian game model is shown through careful case studies and comprehensive computer simulation.

Key words: wireless multi-hop network, incentive strategy, Bayesian game, cross-layer design