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Open AccessArticle

An Adaptive Spreading Factor Selection Scheme for a Single Channel LoRa Modem

1
School of Electronics Engineering, Chungbuk National University, Cheongju 28644, Korea
2
ESS R&D Center, LG Chem Ltd., Daejeon 34122, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(4), 1008; https://doi.org/10.3390/s20041008
Received: 7 January 2020 / Revised: 8 February 2020 / Accepted: 10 February 2020 / Published: 13 February 2020
(This article belongs to the Special Issue Low-Power Sensors and Systems for IoT)
When the low power wide area network (LPWAN) was developed for the internet of things (IoT), it attracted significant attention. LoRa, which is one of the LPWAN technologies, provides low-power and long-range wireless communication using a frequency band under 1 GHz. A long-range wide area network (LoRaWAN) provides a simple star topology network that is not scalable; it supports multi-data rates by adjusting the spreading factor, code rate, and bandwidth. This paper proposes an adaptive spreading factor selection scheme for corresponding spreading factors (SFs) between a transmitter and receiver. The scheme enables the maximum throughput and minimum network cost, using cheap single channel LoRa modules. It provides iterative SF inspection and an SF selection algorithm that allows each link to communicate at independent data rates. We implemented a multi-hop LoRa network and evaluated the performance of experiments in various network topologies. The adaptive spreading factor selection (ASFS) scheme showed outstanding end-to-end throughput, peaking at three times the performance of standalone modems. We expect the ASFS scheme will be a suitable technology for applications requiring high throughput on a multi-hop network. View Full-Text
Keywords: LoRa; LoRaWAN; LPWAN; multi-hop; spreading factor LoRa; LoRaWAN; LPWAN; multi-hop; spreading factor
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Kim, S.; Lee, H.; Jeon, S. An Adaptive Spreading Factor Selection Scheme for a Single Channel LoRa Modem. Sensors 2020, 20, 1008.

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