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

Romit Roy Choudhury
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引用次数: 21

Abstract

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
布朗八卦:利用节点移动性在自组织网络中传播信息
一些网络服务,包括路由、资源发现等,在调用它们各自的算法之前需要知道节点的位置。在大规模自组织网络中,定位节点是一个具有挑战性的问题,特别是当节点是移动的时候。最初学习节点位置的方法依赖于在网络中淹没查询。鉴于洪水带来的巨大开销,八卦后来被提议作为一种可扩展的替代方案。对于八卦,每个节点都有可能转发查询。研究结果表明,对于精心选择的八卦概率,查询很有可能到达目的地。虽然八卦是特定信息的随机传播,但如果节点在其本地缓存中随机移动并携带相同的信息,则可能达到类似的效果。因此,节点的位置信息可以通过节点移动性扩散到网络中,这与产生带宽的无线传输相反。如果这些移动节点将其缓存借给其邻居查询,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似乎是信息传输的两种模式。虽然每一种都被单独研究过,但很少有研究将它们结合起来的可能性。例如,移动节点之间周期性地相互闲谈,可以在显著降低开销的情况下实现渗透。本文研究了八卦和随机(布朗)节点移动的联合潜力。我们认为,使用这种组合策略,有可能为移动网络设计可扩展的位置服务,在此基础上可以开发其他几个应用程序,包括地理路由,资源发现等
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