Performance Analysis of LoRaWAN Communication Utilizing the RFM96 Module


Muhammad Yassir(1*); Harry Soepandi(2); Ajib Hanani(3); Johan Ericka Wahyu Prakasa(4); Ganis Chandra Puspitadewi(5); Sastya Hendri Wibowo(6); Puput Dani Prasetyo Adi(7); Akio Kitagawa(8);

(1) Institut Teknologi dan Bisnis Nobel
(2) University of Jember
(3) UIN Maulana Malik Ibrahim Malang
(4) UIN Maulana Malik Ibrahim Malang
(5) UIN Maulana Malik Ibrahim Malang
(6) Universitas Muhammadiyah Bengkulu
(7) National Research and Innovation Agency
(8) Kanazawa University
(*) Corresponding Author

  

Abstract


This research discusses the utilization of LoRa and LoRaWAN or Low Power Wide Area (LPWA) and Low Power Wide Area Network (LPWAN). In this study, the application server is utilized using Telkom IoT. In its utilization, Telkom IoT can provide comprehensive results regarding LoRa quality of service capabilities such as bit rate, latency, and longitude and latitude data. Terrestrial measurements conduct tests in different areas with different conditions that cause different data obstruction, with several LoRa end-node points transmitting data with low bit-rate. For example, heart rate data. Some other parameters are the spreading factor (SF) and power consumption. Some parameters that determine the quality of transmitting data include the Spreading Factor and the Bandwidth used. From the analysis dan Experiment results, the Delay (ms) generated from measurements using RFM96 LoRa for IoT is around 0.02 seconds or 20 ms to around 0.05 seconds or 50 ms, and sometimes it can reach 0.07 ms to 0.09 ms. RSSI and SNR show the quality of the signal obtained which will provide a Quality of Service (QoS) value. From the measurement results using Telkom IoT in several times of data collection and testing, the average RSSI (-dBm) is at -110 dBm to -115 dBm. While SNR is at -10 dB to -16 dB.


Keywords


Indonesia Provider; LoRaWAN; LoRa Communication; Low Power Consumption; LPWA; LPWAN

  
  

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doi  https://doi.org/10.33096/ilkom.v16i3.2326.255-270 		  

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Copyright (c) 2024 Muhammad Yassir, Harry Soepandi, Ajib Hanani, Johan Ericka Wahyu Prakasa, Ganis Chandra Puspitasdewi, Sastya Hendri Wibowo, Puput Dani Prasetyo Adi, Akio Kitagawa

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