Abstract
Energy saving is one of the most important issues for Internet of Things (IoT). An intuitive way to save energy of IoT devices is to reduce the reporting frequency to the IoT server. However, to do so, the time-variant values are distorted, which may be influential to the measured results. In this paper, we take PM2.5 application as an example to discuss the relation between energy efficiency and data accuracy. Through analyzing PM2.5 concentration collected via LoRa at National Chiao Tung University (NCTU) from 2016 to present, two reporting mechanisms based on timer and threshold, respectively, are proposed. The experimental results demonstrate that the threshold-based reporting outperforms the timer-based reporting by more than 37% in energy saving when the accuracies of these two reporting mechanisms are the same.
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