文献类型：期刊文献

英文题名：Evolutionary Game-Based Secrecy Rate Adaptation in Wireless Sensor Networks

作者：Jiang, Guanxiong[1];Shen, Shigen[1,2];Hu, Keli[1];Huang, Longjun[1,3];Li, Hongjie[2];Han, Risheng[2]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing 314001, Peoples R China;[3]Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310014, Zhejiang, Peoples R China

年份：2015

卷号：2015

外文期刊名：INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

收录：SCI-EXPANDED(收录号：WOS:000353521000001)、、EI(收录号：20151500734184)、Scopus(收录号：2-s2.0-84926451640)、WOS

基金：This work was supported by National Natural Science Foundation of China under Grant no. 61272034, by Zhejiang Provincial Natural Science Foundation of China under Grants LY13F030012 and LY13F020035, and by Science Foundation of Shaoxing University under Grant no. 20145021.

语种：英文

外文关键词：Data transfer - Game theory

外文摘要：Physical layer security, whose aim is to maximize the secrecy rate of a source while keeping eavesdroppers ignorant of data transmitted, is extremely suitable for Wireless Sensor Networks (WSNs). We therefore, by developing the classical wire-tap channel, construct an approach to compute the secrecy rate between a sensor node and its responsible cluster head in the clustered WSNs. A noncooperative secrecy rate game towards WSNs is formulated to solve contradictions between maximizing the secrecy rate of a sensor node and minimizing power consumed for data transmission. Using evolutionary game theory, we set up a selection dynamics upon which a power level can be adaptively selected by a sensor node. Thus, the objective of secrecy rate adaptation for maximizing the fitness of member sensor nodes is achieved. We also prove the game is stable; that is, there exist evolutionarily stable strategies (ESSs) that explain which strategies will be selected by a sensor node in the end. Moreover, a corresponding algorithm of secrecy rate adaptation is given. Numerical experiments show our proposed approach can adaptively adjust the secrecy rate of a sensor node, which provides a novel way to guarantee the confidentiality of WSNs.