A4 Article in conference proceedings
Blockchain-Based Crowdsourcing in UAV-Assisted Vehicular Edge Computing (2023)

Yu, Z., Chang, Z., Li, J., Li, Y., & Zhang, Y. (2023). Blockchain-Based Crowdsourcing in UAV-Assisted Vehicular Edge Computing. In 2023 IEEE Globecom Workshops (GC Wkshps) (pp. 503-508). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10464947

JYU authors or editors

Publication details

All authors or editors: Yu, Ziqing; Chang, Zheng; Li, Jian; Li, Yuan; Zhang, Yulu

Parent publication: 2023 IEEE Globecom Workshops (GC Wkshps)

Place and date of conference: Kuala Lumpur, Malaysia, 4.-8.12.2023

ISBN: 979-8-3503-7022-5

eISBN: 979-8-3503-7021-8

Publication year: 2023

Publication date: 21/03/2024

Pages range: 503-508

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/GCWkshps58843.2023.10464947

Publication open access: Not open

Publication channel open access: 

Additional information: Workshop on Edge Learning over Next-Generation Networks.

Abstract

Utilizing the flexibility advantages of the unmanned aerial vehicle (UAV), the emerging vehicular edge computing (VEC) is able to expand service and computing capability to the vehicular network. In this paper, we consider a crowdsourcing problem and propose a joint blockchain-based framework that enables end users to request services from UAV-assisted VEC system in emergency scenarios. Our framework leverages the global data relevant to the task by uploading it to the public blockchain for storage and tracing, where UAV and vehicles play important roles. Meanwhile, data specific to private networks is stored in the consortium blockchain to relieve data pressure on the public blockchain and improve the efficiency of the lookup process of public blockchain. During the task processing phase, we create a two-layer contract for the crowdsourcing network to incentivize the UAV network and vehicles to participate in task processing phase. We validate the feasibility of our two-layer contract through extensive simulations, which demonstrate the potential of our proposed framework to improve the efficiency of crowdsourcing in an UAV-assisted VEC.

Keywords: wireless networks; unmanned aerial vehicles; edge computing; resourcing; crowdsourcing; blockchains

Free keywords: Consortium Blockchain; Vehicular Edge Computing; Unmanned Aerial Vehicles; crowdsourcing; contract Theory; incentive Mechanism

Contributing organizations

Ministry reporting: Yes

Preliminary JUFO rating: 1