Advances in Smart Systems Research |
| Publisher |
Future Technology Publications |
| Vol. 7 No. 1 |
Workshop Papers from KES Conferences in 2018-20 |
| Journal ISSN |
2050-8662 |
| |
| Article Title | Optimization of IoT Sensor Node Power in LoRaWAN Networks |
| Primary Author | Lloyed Emmanuel, Ryerson University (Canada) |
| Other Author(s) |
Xavier Fernando; Wisam Farjow
|
| Pages |
25 - 32
|
| Article ID |
hcis20-049 |
| Publication Date |
26-Nov-20 |
| Abstract | LoRaWAN is becoming popular for IoT deployments worldwide and it is de-ployed in 143 countries by 133 network operators as of now. LoRa technology uses Chirp Spread Spectrum (CSS) with different Spreading Factors (SF), which makes it possible to achieve a range of several kilometers. However, the recent IoT applications require frequent transmission of data which, leads to long trans-mission times by the nodes and increases energy requirement. Power consump-tion is a critical factor for sensor nodes to last long in the filed. There are many LoRa parameters that can be fine-tuned to provide optimum performance with less energy consumption. In this paper, we analyzed several key parameters that affect power consumption and provide a methodological approach to optimize the sensor node power. |
| | View Paper |
| | View Powerpoint |
| Remarks |
Paper presented at KES-HCIS-20 conference, 17-20 June 2020 |
