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Adaptive Data Collection Strategies for Lifetime-Constrained Wireless Sensor Networks

机译：生命周期受限的无线传感器网络的自适应数据收集策略

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摘要

Communication is a primary source of energy consumption in wireless sensor networks. Due to resource constraints, the sensor nodes may not have enough energy to report every reading to the base station over a required network lifetime. This paper investigates data collection strategies in lifetime-constrained wireless sensor networks. Our objective is to maximize the accuracy of data collected by the base station over the network lifetime. Instead of sending sensor readings periodically, we propose to consider their relative importance. The key idea is to let the sensor nodes send data updates to the base station when the new readings differ more substantially from the previous ones. We analyze the optimal update strategy and develop adaptive update strategies for both individual and aggregate data collections. We also present two methods to cope with message losses in wireless transmission. Experimental results using real data traces show that, compared with periodic data collection, adaptive data collection significantly improves the accuracy of data collected by the base station.
机译：通信是无线传感器网络中能耗的主要来源。由于资源限制，传感器节点可能没有足够的能量来在所需的网络寿命内向基站报告每次读数。本文研究了生命周期受限的无线传感器网络中的数据收集策略。我们的目标是在网络生命周期内最大化基站收集的数据的准确性。建议不要考虑定期发送传感器读数，而要考虑它们的相对重要性。关键思想是让传感器节点在新读数与先前读数有较大差异时将数据更新发送到基站。我们分析最佳更新策略，并针对单个和汇总数据收集开发自适应更新策略。我们还提出了两种方法来应对无线传输中的消息丢失。使用真实数据迹线的实验结果表明，与定期数据收集相比，自适应数据收集显着提高了基站收集的数据的准确性。

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