LoRa tracking system prototype with GPS functionality

Mohammad Zaiyan, Muhammad Syazwan and Ruslan, Rafiza (2023) LoRa tracking system prototype with GPS functionality. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 91-92. ISBN 978-629-97440-5-4

Abstract

LoRa is a reliable modulation system for IoT, while GPS aids in navigation. In Malaysia, the great outdoors is growing more and more popular, but many people have learned the hard way that the wilderness can be cruel if they are not prepared. The project's objective is to create a LoRa Tracking System with GPS functionality and assess its performance. The process entails building a testbed that includes a LoRa32 transmitter and receiver, a GPS module, and a Blynk tracking device. Tests evaluate the performance of the network, hardware, and functionality. Results show that as distance increases, signal strength (RSSI) and signal noise ratio (SNR) decrease, and transmission time increases. Environmental variables and distance have an impact on signal intensity. In open places, the coverage range is often several km, while it is less in areas with high populations. Signal strength, accuracy, and coverage are all improved when GPS and LoRa are combined. In conclusion, this study creates and evaluates the LoRa Tracking System with GPS functionality. Results show signal behavior and the advantages of integrating GPS. Future work will focus on increasing coverage and accuracy. Future studies will focus on increasing the transmission range and accuracy of GPS algorithms.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Mohammad Zaiyan, Muhammad Syazwan
UNSPECIFIED
Ruslan, Rafiza
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Computer networks. General works. Traffic monitoring
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 91-92
Keywords: LoRa, GPS, RSSI, SNR, Tracking System
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138538
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