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...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2014-11-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.013/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841529447920959488 |
---|---|
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/ |
work_keys_str_mv | AT shigenshen secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame AT longjunhuang secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame AT angyantu secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame AT hongjieli secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame AT rishenghan secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame AT qiyingcao secrecyrateadaptationmethodofsensornodesbasedonevolutionarygame |