Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN
By Taoufik Bouguera, J. Diouris, Jean-Jacques Chaillout, Randa Jaouadi, G. Andrieux. Italian National Conference on Sensors, 2018
344 citations recorded by the source corpus.
Energy efficiency is the key requirement to maximize sensor node lifetime. Sensor nodes are typically powered by a battery source that has finite lifetime. Most Internet of Thing (IoT) applications require sensor nodes to operate reliably for an extended period of time. To design an autonomous sensor node, it is important to model its energy consumption for different tasks. Each task consumes a power consumption amount for a period of time. To optimize the consumed energy of the sensor node and have long communication range, Low Power Wide Area Network technology is considered. This paper describes an energy consumption model based on LoRa and LoRaWAN, which allows estimating the consumed power of each sensor node element. The definition of the different node units is first introduced. Then, a full energy model for communicating sensors is proposed. This model can be used to compare different LoRaWAN modes to find the best sensor node design to achieve its energy autonomy.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/9919b72fba86d6a643720e4a9067632da2c61f5f
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Citations in the corpus
- MLPerf Tiny Benchmark (2021, positive): “By performing 21 inference on-device, and near-sensor, TinyML enables greater responsiveness and privacy while 22 avoiding the energy cost associated with wireless communication, which at this scale is far higher 23 than that of compute [5].”