Performance Evaluation of LoRa 923 MHz for the Internet of Things

This research focuses on enhancing the performance of data transmission in the Internet of Things (IoT) by leveraging LoRa technology. Specifically, it utilizes the LILYGO 923 MHz LoRa32 board, which integrates the ESP32 microcontroller with a LoRa module and additional devices like a 0.96-inch OLED display. This board also features a serial converter interface, simplifying the programming process, and uses a micro USB connection for both power and uploading code. One of the goals of this research is to enable the transmission of images using LoRa, though currently, only image conversion during transmission is implemented. The study includes reliability testing of the LoRa module over a distance of 10 km. The results show that the Packet Delivery Ratio (PDR) for Spreading Factor (SF) 7 is 50%, while for SF 12, it improves to 85%. Additionally, the Received Signal Strength Indicator (RSSI) measurements at a distance of 1000 meters with 3 Non-Line-of-Sight (NLoS) conditions yielded values of -120 dBm, -90 dBm, and -78 dBm. These results highlight the potential of LoRa technology in improving IoT data transmission, especially for long-range applications.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/itis64716.2024.10845693
Citations
1
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.21
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Performance Evaluation of LoRa 923 MHz for the Internet of Things

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article

Performance Evaluation of LoRa 923 MHz for the Internet of Things

Angga Putra Juledi, Lalu Delsi Samsumar, Puput Dani Prasetyo Adi, Yanuar Nurdiansyah, Muhammad Taufik Dwi Putra, Moh. Khoridatul Huda
article en
1 citations

Abstract

This research focuses on enhancing the performance of data transmission in the Internet of Things (IoT) by leveraging LoRa technology. Specifically, it utilizes the LILYGO 923 MHz LoRa32 board, which integrates the ESP32 microcontroller with a LoRa module and additional devices like a 0.96-inch OLED display. This board also features a serial converter interface, simplifying the programming process, and uses a micro USB connection for both power and uploading code. One of the goals of this research is to enable the transmission of images using LoRa, though currently, only image conversion during transmission is implemented. The study includes reliability testing of the LoRa module over a distance of 10 km. The results show that the Packet Delivery Ratio (PDR) for Spreading Factor (SF) 7 is 50%, while for SF 12, it improves to 85%. Additionally, the Received Signal Strength Indicator (RSSI) measurements at a distance of 1000 meters with 3 Non-Line-of-Sight (NLoS) conditions yielded values of -120 dBm, -90 dBm, and -78 dBm. These results highlight the potential of LoRa technology in improving IoT data transmission, especially for long-range applications.

Indonesia University of Education (ID), University of Mataram (ID), Universitas Jember (ID), Universitas Al-washliyah Labuhanbatu (ID), National Nuclear Energy Agency of Indonesia (ID), Universitas Islam Malang (ID), National Research and Innovation Agency (ID), Universitas Labuhanbatu (ID)
Openalex Percentile: Top 44%
IoT Networks and Protocols
0.21
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