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Efficient event and query distribution in sensor networks

机译:传感器网络中的高效事件和查询分布

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A sensor network consists of a large number of sensors which are equipped with sensing, computation, and communication devices. Due to limitation in size, a sensor has only limited energy and storage. Traditional wireless network protocols cannot be applied in sensor networks directly. We study the distribution of events and queries in sensor networks. An event is something of interest detected by a sensor. A query is a request of information. A conventional approach to facilitate query nodes to acquire what they want is flooding. Nevertheless, flooding is not desirable in sensor networks due to the large number of nodes and limited energy in sensors. Recently, the concept of data-centric storage (DCS) is introduced where information of the same kind is kept in the same set of nodes. Queries can then be sent to these nodes for information retrievals. Theoretical analysis shows that this approach requires a lot fewer messages than the flooding approach when query frequencies are not high. Unfortunately, existing protocols based on DCS are prone to the hot-spot problem where some nodes have to handle lots of messages. In this paper, we present an efficient protocol for distributing events and queries in a location-aware sensor networks so that the load among nodes is more evenly distributed. We evaluate our protocol using simulations and the results show that our protocol successfully alleviates the hot-spot problem.
机译:传感器网络包括大量传感器,该传感器配备有传感,计算和通信设备。由于尺寸限制,传感器仅具有有限的能量和存储。传统无线网络协议不能直接应用于传感器网络。我们研究了传感器网络中的事件和查询的分布。事件是传感器检测到的感兴趣。查询是信息请求。一种促进查询节点获取他们想要的东西的传统方法是洪水。然而,由于大量节点和传感器中的有限能量,传感器网络在传感器网络中不希望洪水。最近,引入了以数据为中心的存储(DCS)的概念,其中相同类型的信息保持在同一组节点中。然后可以将查询发送到这些节点以获取信息检索。理论分析表明,当查询频率不高时,这种方法需要比洪水方法更少的消息。遗憾的是,基于DCS的现有协议容易出现一些节点来处理大量消息的热点问题。在本文中,我们提出了一种用于在位置感知传感器网络中分发事件和查询的有效协议,以便节点之间的负载更均匀分布。我们使用模拟评估我们的协议,结果表明,我们的协议成功减轻了热点问题。

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