The resource efficiency and dependability are the most basic requirements for a trust model in any wireless sensor network. However, owing to high cost and low reliability, the existing trust models for wireless sensor networks can not satisfy these requirements. To take into account the issues, a lightweight and dependable trust model for clustered wireless sensor network is proposed in this paper, in which the fuzzy degree of nearness is adopted to evaluate the reliability of the recommended trust values from the third party nodes. Moreover, the definition of a self-adapted weighted method for trust aggregation at CH level surpasses the limitations of the subjective definition of weights in traditional weighted method. Theoretical analysis and simulation results show, compared with other typical trust models, the proposed scheme requires less memory and communication overhead and has good fault tolerance and robustness, which can effectively guarantee the security of wireless sensor network.
Wireless sensor networks Trust model Clustered wireless sensor network Fuzzy degree of nearness Self-adapted weighted method
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The paper is supported by the Nature Science Foundation of Jiangsu Province (No. BK20131107).
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