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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references
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