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Exploring the suitability of BLE veacons to track poacher vehicles in harsh jungle terrains

Juj, Karan and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346 2020. Exploring the suitability of BLE veacons to track poacher vehicles in harsh jungle terrains. Presented at: 6th IEEE World Forum on Internet of Things (WF-IoT 2020), Virtual, August, September 2020.

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Abstract

Our overall aim is focused on exploring whether we could use Bluetooth Low Energy (BLE) technology to track poacher vehicles in remote and rural areas such as Sabah, in Malaysia, especially deep inside the jungle terrain with little or no communication technologies exists. Tracking technologies are currently limited to relying on satellites or cellular towers, for environments that do not permit access to these signals, very few viable alternatives exist. This paper explores the use of BLE as a method to track vehicles. It works by mounting Bluetooth beacons beside a road and placing a receiver concealed somewhere inside the vehicle. As the vehicle drives past the beacon, the receiver and beacon are momentarily in range, the receiver then stores a unique ID from the beacon and when the vehicle is then in an area with GSM signal, an SMS is sent containing the unique IDs of the beacons that have been detected. This project is prototyped and tested in collaboration with the Danau Girang Field Centre in Sabah, Malaysia. The results offer insights for how effective BLE beacons are in a tracking situation for where the beacon and receiver are in range for a short period of time as well as how different obstructions will affect the range and strength of the signal. It is important to note that our objective is not to catch the poacher, instead to understand how they move around within jungle terrain, as we can use such information to develop a comprehensive plan against poaching activities.

Item Type: Conference or Workshop Item (Paper)
Status: In Press
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Date of First Compliant Deposit: 12 August 2020
Date of Acceptance: 31 January 2020
Last Modified: 07 Nov 2022 10:58
URI: https://orca.cardiff.ac.uk/id/eprint/134099

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