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Reporting Mechanisms for Internet of Things

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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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Notes

  1. PM2.5 is the suspended particulate matter smaller than 2.5 micrometers in diameter.

  2. The maximum working power for PMS7003 is 100mA × 5V = 0.5W at most. The RF power with 20dBm for GL6509 is 0.45W. In other words, almost 50% of the device’s energy is consumed by the LoRa transmission.

  3. The observation period lasted 4 months with 174,240 sampled data (121 days × 24 hours × 60 minutes). Figure 3 illustrates partial results.

  4. Error reversal is defined as an incident where the reporting accuracy obtained by a smaller timer is worse than that by a larger timer.

  5. Here, we only demonstrate the results where the packet loss probability is set to 0.5. The results with other packet loss probabilities are similar.

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Authors and Affiliations

  1. National Chiao Tung University, Hsinchu, 300, Taiwan

    Chia-Wei Chang, Yi-Bing Lin & Jyh-Cheng Chen

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  1. Chia-Wei Chang
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  2. Yi-Bing Lin
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  3. Jyh-Cheng Chen
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Correspondence to Jyh-Cheng Chen.

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Chang, CW., Lin, YB. & Chen, JC. Reporting Mechanisms for Internet of Things. Mobile Netw Appl 27, 118–123 (2022). https://doi.org/10.1007/s11036-020-01713-1

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