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Wireless Personal Communications

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05-09-2022

An Approach to Optimize LoRa Network Performance for Efficient IoT Applications

Authors: Gagandeep Kaur, Sindhu Hak Gupta, Harleen Kaur

Published in: Wireless Personal Communications | Issue 1/2023

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Abstract

The evolution of LoRa for wireless sensor networks focused on IoT concept is the most adopted LPWAN technology as it has the potential to resolve the requisites of diverse IoT applications. There has been extensive research for analyzing and optimizing LoRa network performance over 868 and 915 MHz ISM bands. However, the IN865-867 channel plan has been less explored. Thus, the current work analyses and optimizes the performance of the LoRa network in terms of time on air (TOA), received power, and received signal strength indicator (RSSI) over IN865-867 channel plan. A mathematical model relating to transmission rate is formulated where the dependence of TOA, received power, and RSSI on the transmission parameters such as bandwidth, coding rate, and spreading factor is evaluated. Artificial Neural Network is implemented using nftool for simulation in MATLAB and the mean square error value (MSE) is obtained. MSE is further utilized to optimize TOA, received power, and RSSI. A critical comparative analysis is carried out to illustrate the benefits of the proposed approach with that of the existing LoRa network. Simulation results show that TOA, received power and RSSI improves by 48, 12 and 16% respectively.

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Title: An Approach to Optimize LoRa Network Performance for Efficient IoT Applications
Authors: Gagandeep Kaur
Sindhu Hak Gupta
Harleen Kaur
Publication date: 05-09-2022
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 1/2023
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-022-09950-1

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