计算机工程 ›› 2019, Vol. 45 ›› Issue (8): 152-158,164.doi: 10.19678/j.issn.1000-3428.0051753

• 移动互联与通信技术 • 上一篇    下一篇

Ad Hoc网络中基于贝叶斯博弈的节点激励策略

唐洁   

  1. 东南大学 网络与信息中心, 南京 210096
  • 收稿日期:2018-06-06 修回日期:2018-08-18 出版日期:2019-08-15 发布日期:2019-08-08
  • 作者简介:唐洁(1983-),女,工程师、硕士,主研方向为移动自组织网络路由、网络安全、计算机系统结构。

Nodes Incentive Strategy Based on Bayesian Game in Ad Hoc Networks

TANG Jie   

  1. Network and Information Center, Southeast University, Nanjing 210096, China
  • Received:2018-06-06 Revised:2018-08-18 Online:2019-08-15 Published:2019-08-08

摘要: Ad Hoc网络中的节点在转发数据时易出现自私行为,为激励自私节点参与数据转发,提出一种节点激励策略IMTFT。根据贝叶斯博弈理论建立节点转发博弈模型,在该模型中引入增加激励因子的改进TFT策略,以均衡激励自私节点。在IMTFT策略下对节点的纳什均衡条件进行推理分析,并确定激励因子相关参数的最优取值。仿真结果表明,该策略能有效激励自私节点参与数据转发,提升网络整体性能。

关键词: 博弈论, 贝叶斯规则, Ad Hoc网络, 纳什均衡, TFT策略, 激励因子

Abstract: Nodes in Ad Hoc networks are prone to show selfish behavior when forwarding data.To motivate selfish nodes to participate in data forwarding,a nodes incentive strategy IMTFT is proposed.Based on Bayesian game theory,a nodes forwarding game model is established,in which an improved TFT strategy with additional incentive factor is introduced to equally motivate selfish nodes.Under the IMTFT strategy,the Nash equilibrium conditions of nodes are reasoned and analyzed,and the optimal parameters of the incentive factor are determined.Simulation results show that the proposed strategy can effectively motivate selfish nodes to participate in data forwarding and improve the overall performance of the networks.

Key words: game theory, Bayesian rule, Ad Hoc networks, Nash equilibrium, TFT strategy, incentive factor

中图分类号: