电信科学 ›› 2014, Vol. 30 ›› Issue (11): 73-79.doi: 10.3969/j.issn.1000-0801.2014.11.013

• 研究与开发 • 上一篇    下一篇

基于演化博弈的传感节点保密率自适应调节方法 *

沈士根1,2,黄龙军1,3,屠昂燕1,4,李宏杰2,韩日昇2,曹奇英5   

  1. 1 绍兴文理学院工学院 绍兴 312000
    2 .嘉兴学院数理与信息工程学院 嘉兴 314001
    3 浙江工业大学计算机科学与技术学院 杭州 310023
    4 上海大学机电工程与自动化学院 上海 200072
    5 东华大学计算机科学与技术学院 上海 201620
  • 出版日期:2014-11-20 发布日期:2017-07-15
  • 基金资助:
    国家自然科学基金资助项目;浙江省自然科学基金资助项目;浙江省自然科学基金资助项目

Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game

Shigen Shen1,2,Longjun Huang1,3,Angyan Tu1,4,Hongjie Li2,Risheng Han2,Qiying Cao5   

  1. 1 College of Engineering, Shaoxing University, Shaoxing 312000, China
    2 College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, China
    3 College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
    4 School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China
    5 College of Computer Science and Technology, Donghua University, Shanghai 201620, China
  • Online:2014-11-20 Published:2017-07-15

摘要:

摘 要:通过扩展经典窃听信道模型,针对聚簇无线传感器网络提出了传感节点和簇头之间的保密率计算方法,构建了一个非合作保密率博弈模型,以反映传感节点之间的交互关系。利用演化博弈思想,建立了传感节点自适应选择发射功率的机制,提出了传感节点自适应调节保密率的算法。实验结果表明,提出的方法能自适应地调节传感节点的保密率,为保证无线传感器网络数据的保密性提供了新途径。

关键词: 无线传感器网络, 物理层安全, 保密率, 演化博弈

Abstract:

By developing the classical wire-tap channel, an approach was proposed to compute the secrecy rate between a sensor node and its responsible cluster head in the clustered wireless sensor network. A non-cooperative secrecy rate game model was formulated to reflect on the interaction relationship between sensor nodes. Using evolutionary game theory, a selection scheme in which a power level can be adaptively selected by a sensor node was developed. Moreover, a corresponding algorithm of secrecy rate adaptation was proposed. Numerical experiments show that the proposed algorithm adaptively adjusts the secrecy rate of the sensor node. Therefore, a novel method to guarantee the confidentiality of wireless sensor network data was provided.

Key words: wireless sensor network, physical layer security, secrecy rate, evolutionary game

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