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

Authors :
Hang Li
Graham Morgan
Zhenyu Wen
Shuyun Luo
Omer Rana
Bin Qian
Rajiv Ranjan
Antonella Longo
Luo, Shuyun
Wen, Zhenyu
Qian, Bin
Li, Hang
Morgan, Graham
Longo, Antonella
Rana, Omer
Ranjan, Rajiv
Source :
IEEE Network. 35:124-129
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

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 that 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.

Details

ISSN :
1558156X and 08908044
Volume :
35
Database :
OpenAIRE
Journal :
IEEE Network
Accession number :
edsair.doi.dedup.....35f90fa9881fd77bd7f4c020b9149ca2