An efficient approach for reliable transmission in LoRa network

Name: Jiraporn Sa-Ingthong

LCSH: Kasetsart University -- Theses. M.Eng. (Computer Engineering) 2021

Classification :.LCCS: TK5105.87

LCSH: Kasetsart University. -- Department of Computer Engineering -- Theses

LCSH: Wide area networks (Computer networks)

LCSH: Wireless communication systems

LCSH: Internet of things

Abstract: LoRa is a low-power wide area network (LPWAN) technology capable of delivering data over very long communication distances, which can be beneficial for a variety of IoT applications. In some communication scenarios such as smart city, a large number of LoRa end devices are expected to be deployed. Such LoRa networks may be subject to a high probability of packet collisions which could cause a reliability problem. To help LoRa network planners analyze performance in terms of packet losses and adjust communication parameters, such as transmission powers and packet rates, to improve reliability, a proper and accurate mathematical model about LoRa performance is needed. In this thesis, a packet loss model that takes into account individual end devices’ packet arrival rates, transmission powers, and distances from a gateway is developed. Experiment results show that packet loss probabilities predicted by the proposed model mostly conform with the results from simulations, where the model accurately predicts the aggregated interference, along with the expected loss rate, under moderate to heavy data traffic. As a demonstration for the proposed model's application, an optimization problem in the form of linear program is formulated with the aim to minimize packet loss probability by adjusting end devices' transmission powers in a single-gateway LoRa network. As a result, the proposed linear program formulation allows lowering the overall transmission powers while maintaining comparable signal-to-interference (SIR) ratio and packet loss rate compared to the default maximum transmission power settings. To support multi-gateway LoRa networks, a heuristic algorithm incorporating the proposed packet loss model is developed. Results show that the adjusted packet loss probability tends to be smaller than that of the original settings, especially with higher SF and higher packet arrival rate.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Chaiporn Jaikaeo

Role: Thesis Advisor

Name: Anan Phonphoem

Role: Thesis CO-Advisor

Name: Aphirak Jansang

Role: Thesis CO-Advisor

Created: 2021

Modified: 2025-07-17

Issued: 2025-07-17

วิทยานิพนธ์/Thesis

application/pdf

URL: https://www.lib.ku.ac.th/KUthesis/2564/jirapon-sai-all.pdf

CallNumber: TK5105.87 .J57

eng

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Computer Engineering

Grantor: Kasetsart University

©copyrights Kasetsart University

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