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On the Feasibility of Gradient-Based Data-Centric Routing Using Bloom Filters

机译:使用布隆过滤器进行基于梯度的以数据为中心的路由的可行性

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Gradient-based routing using Bloom filters is an effective mechanism to enable data-centric queries in multihop networks. A node compressively describes its data items as a Bloom filter, which is then diffused away to the other nodes with information decay. The Bloom filters form an information potential that eventually navigates queries to the source node by ascending the potential field. The existing designs of Bloom filters, however, have critical limitations with respect to the feasibility of gradient-based routing. The compressed routing entries appear to be noisy. Noise in unrelated routing entries is very likely to equal to even outweigh information in right routing entries, thus blinding a query to its desired destination. This work addresses the root cause of the mismatch between the ideal and the practical performance of gradient-based routing using Bloom filters. We first investigate the impact of decaying model on the effectiveness of routing entries, and then evaluate the negative impact of noise on routing decisions. Based on such analytical results, we derive the necessary and sufficient condition of feasible gradient-based routing using Bloom filters. Accordingly, we propose a receiver-oriented design of Bloom filters, called Wader, which satisfies the necessary and sufficient condition. The evaluation results demonstrate that Wader guarantees the correctness and efficiency of gradient-based routing with high probability.
机译:使用Bloom过滤器的基于梯度的路由是一种有效的机制,可在多跳网络中启用以数据为中心的查询。一个节点将其数据项压缩描述为布隆过滤器,然后通过信息衰减将其扩散到其他节点。布隆过滤器形成信息电位,该信息电位最终通过将电位字段提升来将查询导航到源节点。但是,Bloom过滤器的现有设计在基于梯度的路由的可行性方面存在关键限制。压缩的路由条目看起来很吵。不相关的路由条目中的噪声很可能等于甚至大于正确的路由条目中的信息,从而使查询无法达到其所需的目的地。这项工作解决了使用布隆过滤器的基于梯度的路由的理想性能与实际性能之间不匹配的根本原因。我们首先研究衰减模型对路由条目有效​​性的影响,然后评估噪声对路由决策的负面影响。基于此类分析结果,我们使用布隆过滤器得出了可行的基于梯度的路由的充要条件。因此,我们提出了一种称为Wader的面向接收器的Bloom滤波器设计,它满足了必要和充分的条件。评估结果表明,Wader以高概率保证了基于梯度的路由的正确性和效率。

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