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Scalable and robust data dissemination for large-scale wireless sensor networks

机译:适用于大规模无线传感器网络的可扩展且强大的数据分发

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摘要

The publish/subscribe paradigm has been known as the appropriate communication model for providing high scalability and mobility in data-centric networks such as wireless sensor networks. Through an internal infrastructure, in the publish/subscribe paradigm consumers and producers are completely decoupled in the three essential properties: decoupling in space, time, and synchronization. In other words, the internal infrastructure should be hidden from consumers and producers, and it should provide anonymous, asynchronous, and multicasting communication for the decoupling properties. The properties are suitable for the large-scaled mobile environment with many mobile consumers and many mobile producers. Hence, we propose a novel data dissemination scheme satisfied fully with three decoupling properties, and an embedded grid structure is used as the internal infrastructure for supporting shared buffering and multicasting. Through our performance analysis from computer simulation, we conclude that our scheme may be not only the first attempt to implement the true publish/subscribe paradigm in wireless sensor networks, but also can support high scalability and mobility in the wireless sensor networks.
机译:发布/订阅范例已被称为适当的通信模型,用于在以数据为中心的网络(例如无线传感器网络)中提供高可伸缩性和移动性。通过内部基础结构,在发布/订阅范式中,消费者和生产者在三个基本属性上完全脱钩:空间,时间和同步的解耦。换句话说,内部基础结构应该对消费者和生产者隐藏,并且应该为解耦属性提供匿名,异步和多播通信。该属性适用于具有许多移动消费者和许多移动生产者的大规模移动环境。因此,我们提出了一种完全满足三个解耦特性的新颖的数据分发方案,并将嵌入式网格结构用作支持共享缓冲和多播的内部基础结构。通过计算机仿真的性能分析,我们得出的结论是,我们的方案不仅是在无线传感器网络中实现真正的发布/订阅范例的首次尝试,而且可以支持无线传感器网络中的高可伸缩性和移动性。

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