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Dynamic Rendezvous Based Routing Algorithm on Sparse Opportunistic Network Environment

机译:基于动态的基于Rendezvous稀疏机会网络环境的路由算法

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An opportunistic network is a network where the nodes need to communicate with each other even if existing routes between them may not permanently exist due to the nodes’ random movement. Most routing algorithms employ a paradigm by which a node can keep the receiving messages, carrying the messages with them when moving and then forwarding the messages to the opportunistic meeting nodes when possible. This routing model works well in the networks with high-to-moderate node density in which the opportunity that the moving nodes can meet with each other is rather high. On the other hand, the delivery ratio becomes remarkably low in the sparse network environment especially when there is a strict constraint on message delivery deadline. In this paper, we introduce the novel concept of rendezvous place where the passing nodes can announce, deposit, or pick up their own messages without having to meet the other nodes carrying the desired message. The rendezvous place can be detected automatically and its area’s shape is dynamically changed according to the interaction among nodes. The results from extensive simulations show that our routing algorithm can achieve higher delivery ratio and utilize lower energy consumption than traditional opportunistic routing algorithms especially in sparse network environment.
机译:机会主义网络是一种网络,其中节点需要彼此通信,即使它们之间的现有路由可能由于节点的随机移动而不会被永久存在。大多数路由算法采用范例,节点可以保持接收消息,当移动时与它们一起携带消息,然后在可能的情况下将消息转发到机会主义会议节点。该路由模型在具有高于中等节点密度的网络中运行良好,其中移动节点可以相互满足的机会相当高。另一方面,在稀疏网络环境中,交付比率显着低,特别是当消息传递截止日期严格限制时。在本文中,我们介绍了Rendezvous地点的新颖概念,其中通过节点可以宣布,存款或拾取自己的消息,而无需满足携带所需消息的其他节点。可以自动检测聚会场所,并且其区域的形状根据节点之间的交互而动态地改变。来自广泛仿真的结果表明,我们的路由算法可以实现更高的交付比率,并且利用比传统的机会路由算法更低的能耗,尤其是在稀疏网络环境中。

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