Author
Güven, İslam, Parlak, Mehmet
Publication Date
2022
Publication Place
-
IEEE
Subject
Artificial intelligence, Blockchain, Federal learning, Internet of things, Swarms, swarm drones
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-1-6654-5198-7
Record ID
8b75817f-c621-4399-9893-437b9e03572a
Library Location
Electrical & Electronics Engineering
Date
2022
Sample Text
Recently, the usage of blockchain on swarm UAV applications has gained popularity due to the simplicity and security of the designed frameworks. Applications of drones to precision architecture have also been a prominent research topic for years. However, architectures that use drones as a service (DAAS) for such applications are still lacking some detailed analysis. This paper addresses the known problems and challenges of swarm UAV networks, such as availability, route de-confliction, confidentiality and authenticity, and energy consumption. It presents a conceptual solution and architecture for blockchain and computer vision-assisted precision agriculture applications of swarm UAVs through a combination of early designs of agriculture-specific system components and methods adapted from proposed frameworks for other fields in the industry.
DOI
10.1109/iGETblockchain56591.2022.10087152
