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Pub-Eye: The delay constrained Pub/Sub for large scale wireless video surveillance

机译:Pub-Eye:用于大型无线视频监控的延迟受限的Pub / Sub

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This paper proposes a novel design of Publish/Subscribe (Pub/Sub) based system for event-driven video surveillance over wireless networks. Different from the previous Pub/Sub works, the proposed system considers the real-time requirement together with the system scalability. We study the problem of selecting an optimal subset of brokers for subscription forwarding in a large scale delay constrained Pub/Sub system on top of a wireless mesh/ad-hoc network. We prove that the problem can be reduced from a minimum connected K-dominating set problem, which has been proved to be NP-complete. A heuristic algorithm is then proposed to solve the problem and its performance is evaluated by comprehensive simulation. We also share our experience of real-world implementation of the Pub/Sub based video surveillance system.
机译:本文提出了一种基于发布/订阅(Pub / Sub)的新颖设计,用于基于事件的无线网络视频监控。与以前的Pub / Sub工作不同,所提出的系统考虑了实时需求以及系统的可伸缩性。我们研究了在无线网状网络/ ad-hoc网络之上的大规模延迟受限的Pub / Sub系统中选择最佳经纪人子集进行订阅转发的问题。我们证明了该问题可以从已证明是NP完全的最小连通K占优集问题中减少。然后提出一种启发式算法来解决该问题,并通过综合仿真对其性能进行评估。我们还将分享我们在基于Pub / Sub的视频监视系统的实际实现中的经验。

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