A wireless livestock tracking system based on real-time internet of things for theft prevention.
Sandlana, Muzi Vincent
Sandlana, Muzi Vincent
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Abstract
The incessant problem of livestock theft poses a significant threat to the agricultural industry, necessitating the development of innovative and effective preventive strategies. In this study, a novel Wireless Livestock Tracking System (WLTS) is proposed, leveraging real-time Internet of Things (IoT) technologies to revolutionize livestock theft prevention. The proposed WLTS employs a robust IoT infrastructure, seamlessly integrating GPS sensors with LoRa wireless communication modules. LoRa technology, with its extended range and low power consumption, emerges as the cornerstone of this IoT-based solution, surpassing the limitations of Wi-Fi and Bluetooth-based systems. To facilitate real-time communication between farmers and their livestock, the system utilizes a single LoRa network receiver, capable of simultaneously handling multiple sensor nodes dispersed across the geographical area.
Simulation results obtained using the NS-3 simulator convincingly demonstrate the efficacy of the proposed WLTS in mitigating livestock theft. Real-time tracking capabilities empower farmers to promptly identify and recover stolen animals, minimizing losses and safeguarding their valuable assets. Geofencing alerts, proven to be highly accurate, further enhance the system’s sensitivity to potential theft scenarios. Furthermore, the WLTS is equipped with a user-friendly interface accessible via online or mobile applications, enabling farmers to remotely monitor their livestock from anywhere. Additionally, data analytics capabilities are integrated into the system, enabling predictive analysis of probable theft trends based on historical data, further augmenting its intelligence and effectiveness.The proposed WLTS stands as a testament to the transformative potential of IoT technologies in the agricultural sector, offering a comprehensive solution to the pervasive issue of livestock theft. The system’s effectiveness has been rigorously validated through NS-3 simulations, highlighting its potential as a vital tool for enhancing agricultural security. The findings of this study pave the way for the practical implementation of the WLTS, revolutionizing livestock protection and safeguarding the livelihoods of farmers worldwide.
Description
Submitted in partial fulfilment of the requirements for the degree of Master of Computing Information Technology (Communication Networks), Department of Information Technology in the Faculty of Information and Communication Technology at the Tshwane University of Technology.
Date
2023-12-15
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Tshwane University of Technology
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Keywords
LoRa., communication., sensor nodes., low-power wide-area network., radio frequency identification., real-time Internet of Things.