LoRa-Based Sensor Node Energy Consumption with Data Compression

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.

Automated summary

This paper evaluates the efficiency of simple temporal compression algorithms in reducing energy consumption of LoRa-based sensor nodes, showing that simple compression algorithms can effectively improve node lifetime, especially when the measurement interval is long.