Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game

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 betw...

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Main Authors: Shigen Shen, Longjun Huang, Angyan Tu, Hongjie Li, Risheng Han, Qiying Cao
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-11-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.013/
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author Shigen Shen
Longjun Huang
Angyan Tu
Hongjie Li
Risheng Han
Qiying Cao
author_facet Shigen Shen
Longjun Huang
Angyan Tu
Hongjie Li
Risheng Han
Qiying Cao
author_sort Shigen Shen
collection DOAJ
description 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.
format Article
id doaj-art-9843afa7376a4dafbb09dbbfd9908548
institution Kabale University
issn 1000-0801
language zho
publishDate 2014-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-9843afa7376a4dafbb09dbbfd99085482025-01-15T03:18:05ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-11-0130737959617518Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary GameShigen ShenLongjun HuangAngyan TuHongjie LiRisheng HanQiying CaoBy 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.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.013/wireless sensor networkphysical layer securitysecrecy rateevolutionary game
spellingShingle Shigen Shen
Longjun Huang
Angyan Tu
Hongjie Li
Risheng Han
Qiying Cao
Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game
Dianxin kexue
wireless sensor network
physical layer security
secrecy rate
evolutionary game
title Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game
title_full Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game
title_fullStr Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game
title_full_unstemmed Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game
title_short Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game
title_sort secrecy rate adaptation method of sensor nodes based on evolutionary game
topic wireless sensor network
physical layer security
secrecy rate
evolutionary game
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.013/
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AT longjunhuang secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame
AT angyantu secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame
AT hongjieli secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame
AT rishenghan secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame
AT qiyingcao secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame