6533b7d7fe1ef96bd1268e26
RESEARCH PRODUCT
LoRa-Based Sensor Node Energy Consumption with Data Compression
Timo HämäläinenOlli Vaananensubject
Consumption (economics)Battery (electricity)Computer sciencebusiness.industrySensor nodeReal-time computingWirelessEnergy consumptionbusinessComputer Science::Operating SystemsWireless sensor networkEnergy (signal processing)Data compressiondescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-06-07 | 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) |