LoRa-Based Sensor Node Energy Consumption with Data Compression
Väänänen, O., & Hämäläinen, T. (2021). LoRa-Based Sensor Node Energy Consumption with Data Compression. In MetroInd4.0&IoT : Proceedings of 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT (pp. 6-11). IEEE. https://doi.org/10.1109/MetroInd4.0IoT51437.2021.9488434
Date
2021Copyright
© 2021 IEEE
In this paper simple temporal compression algorithms' efficiency to reduce LoRa-based sensor node energy consumption has been evaluated and measured. It is known that radio transmission is the most energy consuming operation in a wireless sensor node. In this paper three lightweight compression algorithms are implemented in an embedded LoRa platform to compress sensor data in on-line mode and the overall energy consumption is measured. Energy consumption is compared to the situation without implementing any compression algorithm. The results show that a simple compression algorithm is an effective method to improve the battery powered sensor node lifetime. Despite the radio transmission's high energy consumption, the sleep current consumption is a significant factor for the device overall lifetime if the measurement interval is long.
Publisher
IEEEParent publication ISBN
978-1-7281-4892-2Conference
IEEE International Workshop on Metrology for Industry 4.0 and IoTIs part of publication
MetroInd4.0&IoT : Proceedings of 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoTKeywords
Internet of Things edge computing sensor data compression energy efficiency wireless communication energy consumption wireless sensor networks current measurement energy measurement data compression battery charge measurement langaton tiedonsiirto langaton tekniikka langaton viestintä algoritmit mittausmenetelmät energiankulutus (energiateknologia) esineiden internet energia anturit
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/99144199
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