Trusted UAV Network Coverage using Blockchain, Machine Learning and Auction Mechanisms

Amjad Saeed Khan, Gaojie Chen, Yogachandran Rahulamathavan , Gan Zheng, Basil Assadhan, Sangarapillai Lambotharan

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Abstract

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.
Original languageEnglish
Article number9121974
Pages (from-to)118219 - 118234
Number of pages16
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 22 Jun 2020

Bibliographical note

Open access. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

Keywords

  • Blockchain
  • auction
  • ergodic capacity
  • service level agreement
  • support vector machine
  • unmanned aerial vehicles

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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    Khan, A. S., Chen, G., Rahulamathavan , Y., Zheng, G., Assadhan, B., & Lambotharan, S. (2020). Trusted UAV Network Coverage using Blockchain, Machine Learning and Auction Mechanisms. IEEE Access, 8, 118219 - 118234. [9121974]. https://doi.org/10.1109/ACCESS.2020.3003894