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: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2014-11-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.013/ |
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| Summary: | 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. |
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| ISSN: | 1000-0801 |