Strategies to Improve LoRaWAN Performance in Multi Communication Use Listen Before Talk

LoRaWAN (Long Range Wide Area Network) is a wireless communication technology widely used in intelligent transportation and supply chain sectors. Despite its advantages, such as wide range and low power consumption, LoRaWAN faces significant challenges, including high packet loss and inefficient spectrum usage. This research examines the Listen Before Talk (LBT) mechanism to address these issues by comparing its performance against other mechanisms such as Adaptive Data Rate (ADR) and Additive Links On-line Hawaii Area (ALOHA). LBT allows devices to check the channel before transmission, reducing the risk of interference and data collisions. The results show that LBT significantly reduces the collision rate compared to ADR and ALOHA, with a collision rate of 10% for LBT, 20% for ADR, and 40% for ALOHA. These findings reinforce the potential of LBT in improving the performance of LoRaWAN, especially in applications that require reliable data delivery without data loss.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/eeccis62037.2024.10840020
Citations
2
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.42
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article

Strategies to Improve LoRaWAN Performance in Multi Communication Use Listen Before Talk

Puput Dani Prasetyo Adi, Arief Suryadi Satyawan, Tjahjo Adiprabowo, Yuyu Wahyu et al.
2 citations
IoT Networks and Protocols
0.42
article

Strategies to Improve LoRaWAN Performance in Multi Communication Use Listen Before Talk

Puput Dani Prasetyo Adi, Arief Suryadi Satyawan, Tjahjo Adiprabowo, Yuyu Wahyu, Fairuz Iqbal Maulana, Muhammad Yasir, Pradeka Brilyan Purwandoko, Yudi Yulius Maulana, Sofyan Mufti Prasetyo
article en
2 citations

Abstract

LoRaWAN (Long Range Wide Area Network) is a wireless communication technology widely used in intelligent transportation and supply chain sectors. Despite its advantages, such as wide range and low power consumption, LoRaWAN faces significant challenges, including high packet loss and inefficient spectrum usage. This research examines the Listen Before Talk (LBT) mechanism to address these issues by comparing its performance against other mechanisms such as Adaptive Data Rate (ADR) and Additive Links On-line Hawaii Area (ALOHA). LBT allows devices to check the channel before transmission, reducing the risk of interference and data collisions. The results show that LBT significantly reduces the collision rate compared to ADR and ALOHA, with a collision rate of 10% for LBT, 20% for ADR, and 40% for ALOHA. These findings reinforce the potential of LBT in improving the performance of LoRaWAN, especially in applications that require reliable data delivery without data loss.

Binus University (ID), Institut Teknologi dan Bisnis Kalbe (ID)
Openalex Percentile: Top 35%
IoT Networks and Protocols
0.42
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Strategies to Improve LoRaWAN Performance in Multi Communication Use Listen Before Talk — Puput Dani Prasetyo Adi, Arief Suryadi Satyawan, et al. · (2024) | TGRS Research Map | TGRS