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Anomaly resilient node placement approach for pipelines monitoring

机译：用于管道监控的异常弹性节点放置方法

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摘要

Wireless sensor network has proven to be a good candidate for many monitoring applications such as habitat monitoring, structural health monitoring, pipeline monitoring, etc. Pipeline monitoring is a challenging application where the sensors are placed in a linear topology. This linear topology requires careful attention in placing sensors to ensure robustness against anomaly, minimize the energy consumption and maximize the network lifetime. This paper investigates this problem by improving and evaluating the performance of two greedy node placement approaches. In contrast to existing work, we have validated experimentally the 31 power levels of CC2420 TelosB chipon and their corresponding transmission ranges. Having more power-level resolution yields less energy consumption and longer lifetime compared to traditional 8 power levels. Extensive simulation and real experiments have been conducted. The results demonstrate 23% extension in the lifetime when all power levels are adopted.
机译：事实证明，无线传感器网络是许多监视应用程序的理想选择，例如栖息地监视，结构健康监视，管道监视等。在将传感器放置在线性拓扑中的情况下，管道监视是一项具有挑战性的应用。这种线性拓扑在放置传感器时需要特别注意，以确保其对异常情况的鲁棒性，最小化能量消耗并最大程度地延长网络寿命。本文通过改进和评估两种贪婪节点放置方法的性能来研究此问题。与现有工作相反，我们已通过实验验证了CC2420 TelosB Chipon的31种功率水平及其相应的传输范围。与传统的8个功率等级相比，具有更高的功率等级分辨率可减少能耗并延长使用寿命。已经进行了广泛的模拟和实际实验。结果表明，采用所有功率等级时，使用寿命会延长23％。

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