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A Fuzzy Ranking Based Buffer Replacement Strategy for Opportunistic Networks

机译:机会网络的基于模糊排序的缓冲区替换策略

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In opportunistic networks, it always suffers from the problems that the topology of the network changes dramatically, the disconnection between nodes are prevalen. A store-carry-forward protocol is utilized to deal with those problems in which messages need to be stored in buffers and carried for a long time. Allowing for the limited buffer space, it likely brings buffer overflows and network congestion. A buffer replacement strategy based on fuzzy ranking is proposed to ease congestion and improve efficiency for opportunistic networks in this paper. In the strategy priority, timeliness and size of messages are taken into account, and fuzzy theory is employed to make multi-attribute evaluation and rank replacement sequence. Through simulation results, it can be observed that the proposed strategy can improve the effect of routing in opportunistic networks in terms of delivery ratio and packet loss rate.
机译:在机会网络中,总是遭受网络拓扑急剧变化,节点之间断开的普遍性的问题。使用存储转发协议来处理那些消息需要存储在缓冲区中并长时间携带的问题。考虑到有限的缓冲区空间,可能会导致缓冲区溢出和网络拥塞。提出了一种基于模糊排序的缓冲区替换策略,以缓解机会网络的拥塞并提高其效率。在策略优先级中,考虑了消息的及时性和大小,并运用模糊理论进行了多属性评估和等级替换序列。通过仿真结果可以看出,所提出的策略可以在机会率和丢包率方面提高机会网络中路由的效果。

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