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通过引入社会网络中链接的概念,提出1种无线传感器网络簇中可信模型,以更有效地检测非正常节点。模型把对节点的信任分成持久信任和即时信任,在即时信任和持久信任的基础上计算每个节点的信誉,利用信誉检测非正常节点。通过实验分析了阀值的取值并将本研究模型与其他模型进行比较。实验结果表明,在检测非正常节点方面,基于链接的簇中可信模型比GTMS(group-based trust management scheme)和RFSN(reputation-based framework for sensor network)更为优秀。
By introducing the concept of link in social network, a trust model in wireless sensor network cluster is proposed to detect non-normal nodes more effectively. The model divides the trust of nodes into long-lasting trust and real-time trust, calculates the reputation of each node on the basis of instant trust and lasting trust, and uses reputation to detect abnormal nodes. The threshold value is analyzed experimentally and the research model is compared with other models. The experimental results show that the trustworthy model in link-based clusters is superior to GTMS (group-based trust management scheme) and RFSN (reputation-based framework for sensor network) in detecting abnormal nodes.