Data transmission accounts for significant energy consumption in wireless sensor networks where streaming data is generatedby the sensors. This impedes their use in many settings, including livestock monitoring over large pastures (which formsour target application). We present Ambrosia, a lightweight protocol that utilizes a window-based timeseries forecastingmechanism for data reduction. Ambrosia employs a configurable error threshold to ensure that the accuracy of end applicationsis unaffected by the data transfer reduction. Experimental evaluations using LoRa and BLE on a real livestock monitoringdeployment demonstrate 60% reduction in data transmission and a 2X increase in battery lifetime.
翻译:数据传输是无线传感器网络中大量能源消耗的原因,这些传感器生成了流数据,这阻碍了它们在许多环境中的使用,包括大型牧场的牲畜监测(它构成我们的目标应用),我们介绍了一个轻量级协议Ambrosia,这是一个利用窗口时间序列预报机制减少数据的轻质协议,Ambrosia使用一个可配置的错误阈值,以确保终端应用的准确性不受数据传输的减少的影响。使用LoRa和在实际牲畜监测部署时无法完成的实验性评估显示,数据传输减少了60%,电池寿命增加了2X倍。