Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms
The UAV is emerging as one of the greatest technology developments for rapid network coverage provisioning at affordable cost. The aim of this paper is to outsource network coverage of a specific area according to a desired quality of service requirement and to enable various entities in the network...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9121974/ |
| _version_ | 1818917643283857408 |
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| author | Amjad Saeed Khan Gaojie Chen Yogachandran Rahulamathavan Gan Zheng Basil Assadhan Sangarapillai Lambotharan |
| author_facet | Amjad Saeed Khan Gaojie Chen Yogachandran Rahulamathavan Gan Zheng Basil Assadhan Sangarapillai Lambotharan |
| author_sort | Amjad Saeed Khan |
| collection | DOAJ |
| description | The UAV is emerging as one of the greatest technology developments for rapid network coverage provisioning at affordable cost. The aim of this paper is to outsource network coverage of a specific area according to a desired quality of service requirement and to enable various entities in the network to have intelligence to make autonomous decisions using blockchain and auction mechanisms. In this regard, by considering a multiple-UAV network where each UAV is associated to its own controlling operator, this paper addresses two major challenges: the selection of the UAV for the desired quality of network coverage and the development of a distributed and autonomous real-time monitoring framework for the enforcement of service level agreement (SLA). For a suitable UAV selection, we employ a reputation-based auction mechanism to model the interaction between the business agent who is interested in outsourcing the network coverage and the UAV operators serving in closeby areas. In addition, theoretical analysis is performed to show that the proposed auction mechanism attains a dominant strategy equilibrium. For the SLA enforcement and trust model, we propose a permissioned blockchain architecture considering Support Vector Machine (SVM) for real-time autonomous and distributed monitoring of UAV service. In particular, smart contract features of the blockchain are invoked for enforcing the SLA terms of payment and penalty, and for quantifying the UAV service reputation. Simulation results confirm the accuracy of theoretical analysis and efficacy of the proposed model. |
| first_indexed | 2024-12-20T00:37:20Z |
| format | Article |
| id | doaj.art-e5f545ddc200465b88a83cf0670ba061 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T00:37:20Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e5f545ddc200465b88a83cf0670ba0612022-12-21T19:59:43ZengIEEEIEEE Access2169-35362020-01-01811821911823410.1109/ACCESS.2020.30038949121974Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction MechanismsAmjad Saeed Khan0https://orcid.org/0000-0002-8255-3834Gaojie Chen1https://orcid.org/0000-0003-2978-0365Yogachandran Rahulamathavan2Gan Zheng3https://orcid.org/0000-0001-8457-6477Basil Assadhan4Sangarapillai Lambotharan5https://orcid.org/0000-0001-5255-7036School of Computing, Electronics and Mathematics, Coventry University, Coventry, U.K.School of Engineering, University of Leicester, Leicester, U.K.Institute for Digital Technologies, Loughborough University London, London, U.K.Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, U.K.Electrical Engineering Department, King Saud University, Riyadh, Saudi ArabiaWolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, U.K.The UAV is emerging as one of the greatest technology developments for rapid network coverage provisioning at affordable cost. The aim of this paper is to outsource network coverage of a specific area according to a desired quality of service requirement and to enable various entities in the network to have intelligence to make autonomous decisions using blockchain and auction mechanisms. In this regard, by considering a multiple-UAV network where each UAV is associated to its own controlling operator, this paper addresses two major challenges: the selection of the UAV for the desired quality of network coverage and the development of a distributed and autonomous real-time monitoring framework for the enforcement of service level agreement (SLA). For a suitable UAV selection, we employ a reputation-based auction mechanism to model the interaction between the business agent who is interested in outsourcing the network coverage and the UAV operators serving in closeby areas. In addition, theoretical analysis is performed to show that the proposed auction mechanism attains a dominant strategy equilibrium. For the SLA enforcement and trust model, we propose a permissioned blockchain architecture considering Support Vector Machine (SVM) for real-time autonomous and distributed monitoring of UAV service. In particular, smart contract features of the blockchain are invoked for enforcing the SLA terms of payment and penalty, and for quantifying the UAV service reputation. Simulation results confirm the accuracy of theoretical analysis and efficacy of the proposed model.https://ieeexplore.ieee.org/document/9121974/Blockchainauctionsupport vector machineservice level agreementunmanned aerial vehiclesergodic capacity |
| spellingShingle | Amjad Saeed Khan Gaojie Chen Yogachandran Rahulamathavan Gan Zheng Basil Assadhan Sangarapillai Lambotharan Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms IEEE Access Blockchain auction support vector machine service level agreement unmanned aerial vehicles ergodic capacity |
| title | Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms |
| title_full | Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms |
| title_fullStr | Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms |
| title_full_unstemmed | Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms |
| title_short | Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms |
| title_sort | trusted uav network coverage using blockchain machine learning and auction mechanisms |
| topic | Blockchain auction support vector machine service level agreement unmanned aerial vehicles ergodic capacity |
| url | https://ieeexplore.ieee.org/document/9121974/ |
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