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Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach

机译:具有传感器网络的早期森林火灾检测:滑动窗口地平线方法

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Wireless sensor networks are widely used in environmental applications, like forest fire detection. Although forest fires occur relatively rarely, their number is increasing in Europe in the last years, so their manifestation must be early detected in order to prevent higher damages. To minimize needless communication between the sensor nodes for this usage, new data suppression technique using sliding window skylines is described in this paper. We experimentally evaluate our algorithm for continuous sliding windows skylines computation, and show its usability in practice.
机译:无线传感器网络广泛用于环境应用,如森林火灾探测。虽然森林火灾发生得比相对较少,但在过去几年中,他们的数量正在增加,因此必须早期检测到它们的表现,以防止更高的损害。为了最小化传感器节点之间的不必要通信,本文描述了使用滑动窗口天际线的新数据抑制技术。我们通过实验评估我们的连续滑动窗口地平线计算的算法,并在实践中显示其可用性。

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