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Brownian gossip: exploiting node mobility to diffuse information in ad hoc networks

机译:布朗八卦:利用节点移动到临时网络中的漫反射信息

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Several network services, including routing, resource-discovery, etc., require the knowledge of a node's location, before invoking their respective algorithms. Locating a node is a challenging problem in large-scale ad hoc networks, especially when the nodes are mobile. Initial approaches to learn a node's location relied on flooding a query in the network. In view of the large overheads of flooding, gossiping was later proposed as a scalable alternative. With gossiping, each node probabilistically forwards the query. Research findings show that for carefully chosen gossip probabilities, the query is very likely to reach the destination. While gossiping is a random propagation of a specific information, a similar effect might be achieved if nodes move randomly carrying the same information in their local caches. Thus, a node's location information can diffuse into the network via node mobility, as opposed to wireless transmissions that incur bandwidth. If these mobile nodes lend their caches to be queried by its neighborhood, a distributed location estimation service can be envisioned. Clearly, wireless transmission and physical mobility appear to be two modes of information transportation. While each have been studied individually, there has been little work on the possibility of combining them. For example, mobile nodes that gossip with each other periodically, may achieve percolation at significantly lower overheads. This paper investigates the combined potential of gossip and random (Brownian) node mobility. We argue that using such a combined strategy, it might be possible to design a scalable location service for mobile networks, over which several other applications can be developed, including geographic routing, resource discovery, etc.
机译:在调用其各自的算法之前,若干网络服务包括路由,资源发现等,需要了解节点的位置。定位节点是大型临时网络中有一个具有挑战性的问题,尤其是当节点是移动的时。学习节点位置的初始方法依赖于泛洪网络中的查询。鉴于洪水的巨大开销,后来闲聊被提出为可扩展的替代方案。通过闲话,每个节点都概述了查询。研究结果表明,对于精心挑选的八卦概率,查询很可能到达目的地。虽然闲聊是特定信息的随机传播,但如果节点在当地的缓存中随机移动相同的信息,则可能会实现类似的效果。因此,节点的位置信息可以通过节点移动性扩散到网络中,而不是产生带宽的无线传输。如果这些移动节点借给其邻域要查询的高速缓存,则可以设想分布式位置估计服务。显然,无线传输和物理移动性似乎是两种信息运输方式。虽然每个人都被单独研究,但在结合它们的可能性时几乎没有工作。例如,周期性地彼此闲聊的移动节点可以在显着较低的开销下实现渗透。本文研究了八卦和随机(布朗)节点移动性的综合潜力。我们认为,使用这种组合的策略,可以设计用于移动网络的可扩展位置服务,在此可以开发几种其他应用程序,包括地理路由,资源发现等。

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