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

• research and development • Previous Articles     Next Articles

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

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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