JOURNAL ARTICLE

Blockchain-Based Task Offloading in Drone-Aided Mobile Edge Computing

Shuyun LuoHang LiZhenyu WenBin QianGraham MorganAntonella LongoOmer RanaRajiv Ranjan

Year: 2021 Journal:   IEEE Network Vol: 35 (1)Pages: 124-129   Publisher: Institute of Electrical and Electronics Engineers

Abstract

An increasing number of cloud providers now offer Mobile Edge Computing (MEC) services for their customers to support task offloading. This is undertaken to reduce latency associated with forwarding data from IoT devices owned by customers to cloud platforms. However, two challenges remain in existing MEC scenarios: (i) the coverage of MEC services is limited; (ii) there is limited ability to develop an audit trail about which MEC service providers have processed a user’s data. A new architecture for automatically offloading user tasks in MEC scenarios is proposed which addresses the two challenges above. The architecture makes use of drones to dynamically cache data generated from IoT devices and forward this data to MEC servers that participate in a private blockchain network. Our simulated experiments demonstrate the flexibility of the task offloading process through the proposed architecture which can provide greater visibility of MEC service providers involved in processing users’ data

Keywords:
Computer science Cloud computing Server Edge computing Computer network Mobile edge computing Service provider Mobile cloud computing Data as a service Service (business) Distributed computing Operating system

Metrics

52
Cited By
13.52
FWCI (Field Weighted Citation Impact)
15
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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