时延容忍网络中基于模糊贴近度的委托转发

Feng Li, Yinying Yang, Jie Wu, X. Zou
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引用次数: 7

摘要

容忍延迟网络(dtn)被设想为提供有前途的应用和服务。ddn中的一个关键问题是在延迟要求内有效地转发消息,同时避免与盲泛洪相关的成本。为了指导转发过程,节点可以根据接触历史,用“亲密度”来评价彼此之间的关系,“亲密度”概括了时间和空间信息。然而,由于节点迁移的不确定性,接触历史通常包含模糊性和不完全信息。在本文中,我们首先定义并利用节点的模糊信任评价系统来总结节点与其他节点之间的亲密关系。然后,我们提出了基于节点亲密度评价的模糊聚类,将节点组织成重叠的模糊社区。在模糊社区的基础上,提出了一种基于模糊权重的授权转发方案,将消息传播到所有社区,同时避免在同一社区中重复转发。基于真实轨迹的大量仿真结果证明了该方案的有效性。
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Fuzzy Closeness-Based Delegation Forwarding in Delay Tolerant Networks
Delay tolerant networks (DTNs) are envisioned to provide promising applications and services. One critical issue in DTNs is efficiently forwarding the messages within the delay requirements while avoiding the cost associated with blind flooding. To guide the forwarding process, nodes can evaluate their relationships with each other, in terms of ``closeness'', which summarizes both temporal and spacial information, based on contact history. However, due to the uncertainty in nodal mobility, the contact history usually contains fuzziness and incomplete information. In this paper, we first define and utilize a fuzzy trust evaluation system for nodes to summarize their relationships to other nodes, in terms of closeness. We then propose the fuzzy clustering to organize nodes into overlapped fuzzy communities based on nodes' evaluations of closeness. On top of the fuzzy communities, a novel fuzzy-weight-based delegation forwarding scheme is proposed to propagate the messages into all communities while avoiding repeated forwarding in the same community. Extensive simulation results based on real traces are presented to support the effectiveness of our scheme.
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