基于分布式信任管理的数据转发算法

Distributed Trust Management-based Data Forwarding Algorithm

时延容忍网络内的恶意或自私节点严重影响了网络性能。为此,提出基于分布式信任管理的数据转发算法(Distributed Trust Management-based Data Forwarding,DTM-DF)。DTM-DF算法通过分布式信任管理滤除恶意节点。首先,通过转发证据,并结合节点的能量消耗率计算直接信任。然后,再通过间接信任、推荐信誉值计算推荐信任。推荐信誉能够提高总体推荐信任值。仿真结果表明,提出的DTM-DF算法提高了数据包传递率,消除了路由不正当行为。

For Delay Tolerant Networks(DTNs),the presence of malicious or selfish nodes will have a great impact on the network performance.Therefore,the distributed trust management-based data forwarding(DTM-DF)algorithm is proposed in this paper.DTM-DF algorithm used decentralized trust management to filter out malicious nodes.First,the number of forwarding evidence is combined with the energy consumption rate of the nodes to formulate direct trust.Then,a recommendation trust is computed from the indirect trust,recommendation credibility,and recommendation familiarity.Recommendation credibility improve the overall recommendation trust.The performance analysis results show that its performance of DTM-DF algorithm is improved in term of delivery ratio,and mitigates routing misbehaviour.