Drones and Blockchain Integration to Manage Forest Fires in Remote Regions

Mahmudnia, Dena, Arashpour, Mehrdad, Bai, Yu and Feng, Haibo (2022) Drones and Blockchain Integration to Manage Forest Fires in Remote Regions. Drones, 6 (11). p. 331. ISSN 2504-446X

drones-06-00331.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (2MB) | Preview
Official URL: https://doi.org/10.3390/drones6110331


Central management of fire stations and traditional optimization strategies are vulnerable to response time, a single point of failure, workload balancing, and cost problems. This is further intensified by the absence of modern communication systems and a comprehensive management framework for firefighting operations. These problems motivate the use of new technologies such as unmanned aerial vehicles (UAVs) with the capability to transport extinguishing materials and reach remote zones. Forest fire management in remote regions can also benefit from blockchain technology (BC) due to the facilitation of decentralization, tamper-proofing, immutability, and mission recording in distributed ledgers. This study proposed an integrated drone-based blockchain framework in which the network users or nodes include drones, drone controllers, firefighters, and managers. In this distributed network, all nodes can have access to data; therefore, the flow of data exchange is smooth and challenges on spatial distance are minimized. The research concluded with a discussion on constraints and opportunities in integrating blockchain with other new technologies to manage forest fires in remote regions.

Item Type: Article
Additional Information: Funding information: The authors are grateful for the support from the Australian Research Council (ARC) through the Linkage project (LP180101080).
Uncontrolled Keywords: blockchain, smart contract, drone, forest fire
Subjects: H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Rachel Branson
Date Deposited: 10 Nov 2022 09:24
Last Modified: 10 Nov 2022 09:30
URI: https://nrl.northumbria.ac.uk/id/eprint/50603

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics