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A Centrality-Based History Prediction Routing Protocol for Opportunistic Networks

机译:机会网络的基于中心性的历史预测路由协议

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In Opportunistic networks (OppNets), due to high mobility, short radio range, intermittent links, unstable topology, sparse connectivity, to name a few, routing is a very challenging task since it relies on cooperation between the nodes. This paper focuses on using the concept of centrality to alleviate this task. Unlike other nodes in the network, central nodes are those that are more likely to act as communication hubs to facilitate the message forwarding and thereby routing. In this paper, a recently proposed History-Based Prediction Routing protocol (HBPR) for OppNets is re-designed using this concept, yielding the so-called centrality-based HBPR (CHBPR) routing protocol. The proposed CHBPR scheme is evaluated by simulations using the Opportunistic NEtwork (ONE) simulator, showing superior performance compared to HBPR without centrality and Epidemic protocol with centrality, in terms of number of messages delivered at destination and overhead ratio, under varying number of nodes and Time-to-Live.
机译:在机会网络(OppNets)中,由于高移动性,短无线电范围,间歇性链路,不稳定的拓扑结构,稀疏的连接性(仅举几例),路由是一项非常具有挑战性的任务,因为路由依赖于节点之间的协作。本文着重于使用集中性的概念来减轻这一任务。与网络中的其他节点不同,中央节点是那些更有可能充当通信集线器以促进消息转发并由此进行路由的节点。在本文中,使用此概念重新设计了最近提出的针对OppNet的基于历史的预测路由协议(HBPR),从而产生了所谓的基于中心性的HBPR(CHBPR)路由协议。通过使用机会性NEtwork(ONE)模拟器进行仿真,对拟议的CHBPR方案进行了评估,结果显示,与不使用集中性的HBPR和具有集中性的Epidemic协议相比,HBPR的性能要好得多,在节点数量和节点数量变化的情况下,在目的地和开销比率下传递的消息数量生存时间。

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