<p>How LoRa/LoRaWAN performance evaluation
in various environmental scenarios has been an active research topic for
researchers, and there are many existing works carried out in outdoor
scenarios. On top of that, it is necessary to study how LoRa/LoRaWAN performs
in indoor environments as one of the fast-growing IoT network mechanisms.
However, few studies are found to work on LoRa and LoRaWAN performance
evaluation in indoor scenarios. This study focuses on a real-world
experiment to understand how LoRa radio signals behave according to its
physical layer parameter settings.</p><p>Data is collected
through real-world experiments in a campus environment. The experiments for
data sample collection were conducted in September 2021 in the Purdue Campus
area in West Lafayette, Indiana, United States. LoRa transceivers with
the SX1276 module are deployed operating in the 915MHz
frequency band on both LoRa RX and TX end nodes in this study. The data transmitted between
LoRa transmitter and LoRa receiver is packet-sized (17 bytes) messages. </p><p>For data collection, LoRa module is
configured with 36 PHY parameter settings – three spreading factors (7, 9, 11),
three signal bandwidths (125kHz, 250kHz, 500kHz), and four coding rates (4/5,
4/6, 4/7, 4/8). Test devices are the Dragino LoRa shields equipped with SX1276
radio modules in 915MHz frequency bands. The experiment is conducted at three
different distances – 10m, 20m, and 40m – between LoRa TX node and LoRa RX node
in indoor office buildings in Purdue University West Lafayette Campus, US.</p>
<p>The RSSI and SNR are measured to
characterize the link performance of Lora. The Received Signal Strength
Indication (RSSI) and Signal-to-Noise Ratio (SNR) are two Physical level
indicators available on wireless radio chips. In addition to them, the LoRa
communication reliability is calculated based on the Received Packet Ratio
(RPR) out of transmitted packets with different PHY settings at each distance.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/16811659 |
| Date | 22 November 2021 |
| Creators | Shinhye Yun (11559760) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/LORA_PERFORMANCE_AND_ITS_PHY_LAYER_PARAMETERS_IN_915MHZ_ISM_BAND_IN_INDOOR_ENVIRONMENTS/16811659 |
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