@inproceedings{903fbf99a37a4ec19fadfffc4ebdced2,
title = "Reporting mechanisms for internet of things",
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 letter, 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.",
keywords = "Data accuracy, Internet of things, LoRa, PM2.5, Packet loss, Reporting frequency",
author = "Chang, {Chia Wei} and Yi-Bing Lin and Jyh-Cheng Chen",
note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 11th International Conference on Wireless Internet , WiCON 2018 ; Conference date: 15-10-2018 Through 16-10-2018",
year = "2019",
doi = "10.1007/978-3-030-06158-6_20",
language = "English",
isbn = "9783030061579",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "193--202",
editor = "Ai-Chun Pang and Der-Jiunn Deng and Chun-Cheng Lin and Jiann-Liang Chen",
booktitle = "Wireless Internet - 11th EAI International Conference, WiCON 2018, Proceedings",
address = "德國",
}