Low latency event boundary detection in wireless sensor networks

Srabani Kundu
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引用次数: 2

Abstract

In many real life applications of WSN, to monitor a wide inaccessible area, a large number of sensor nodes are deployed randomly over the region. When an event occurs, to identify the affected area immediately, it is necessary that the data and the locations of the affected nodes are reported to the sink node with minimum latency. In this paper, for 2D region, using some light-weight distributed in-node processing, a reduced set of boundary nodes are identified, which report to the sink node following the proposed routing strategy to minimize the latency. Simulation results show that compared to the earlier works, the proposed algorithm performs better in terms of the number of boundary nodes to be reported, accuracy of the estimated area and the packet latency with less neighborhood information and without any dependency on sensed data.
无线传感器网络中的低延迟事件边界检测
在WSN的许多实际应用中,为了监测广泛的不可访问区域,在该区域随机部署了大量的传感器节点。当事件发生时,为了立即识别受影响的区域,有必要以最小的延迟将受影响节点的数据和位置报告给汇聚节点。本文针对二维区域,采用一些轻量级的分布式节点内处理,识别出一组精简的边界节点,这些节点按照所提出的路由策略向汇聚节点报告,以最小化延迟。仿真结果表明,该算法在报告边界节点的数量、估计面积的准确性和数据包延迟方面都比以往的算法有更好的表现,且邻域信息较少,不依赖于感知数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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