UAV-based MEC-assisted automated traffic management scheme using blockchain
- Authors
- Masuduzzaman, Md; Islam, Anik; Sadia, Kazi; Shin, Soo Young
- Issue Date
- Sep-2022
- Publisher
- ELSEVIER
- Keywords
- Blockchain; Multi-access edge computing; Pairwise compatibility graph; Unmanned aerial vehicle; Vehicle detection
- Citation
- FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.134, pp 256 - 270
- Pages
- 15
- Journal Title
- FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
- Volume
- 134
- Start Page
- 256
- End Page
- 270
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/21468
- DOI
- 10.1016/j.future.2022.04.018
- ISSN
- 0167-739X
1872-7115
- Abstract
- In this paper, an automated real-time traffic management scheme is proposed by using unmanned aerial vehicles (UAV) in an effective and secured way. However, owing to the low computational capability and limited battery capacity of a UAV, multi-access edge computing (MEC) is applied to enhance the performance of an automated UAV-based traffic management scheme. Additionally, blockchain technology is introduced in the automated traffic management scheme to store the traffic record for providing network repudiation and avoiding any third-party interference with the network. An algorithm is developed based on the concept of a pairwise compatibility graph for the UAV-assisted automated traffic management scheme wherein a deep learning (DL) model is used for vehicle detection. Moreover, a two-phase authentication mechanism is proposed for a faster and secure verification process of the registered devices in the proposed scheme. Finally, a result analysis is conducted based on the security analysis and performance analysis to verify the effectiveness of the proposed scheme. (c) 2022 Elsevier B.V. All rights reserved.
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