blockchain-enabled computation offloading for IoT in mobile edge computing

Xiaolong Xu, Xuyun Zhang, Honghao Gao, Yuan Xue, Lianyong Qi, Wanchun Dou

Research output: Contribution to journalArticle

46 Citations (Scopus)


Benefiting from the real-time processing ability of edge computing, computing tasks requested by smart devices in the Internet of Things are offloaded to edge computing devices (ECDs) for implementation. However, ECDs are often overloaded or underloaded with disproportionate resource requests. In addition, during the process of task offloading, the transmitted information is vulnerable, which can result in data incompleteness. In view of this challenge, a blockchain-enabled computation offloading method, named BeCome, is proposed in this article. Blockchain technology is employed in edge computing to ensure data integrity. Then, the nondominated sorting genetic algorithm III is adopted to generate strategies for balanced resource allocation. Furthermore, simple additive weighting and multicriteria decision making are utilized to identify the optimal offloading strategy. Finally, performance evaluations of BeCome are given through simulation experiments.

Original languageEnglish
Pages (from-to)4187-4195
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Issue number6
Early online date23 Aug 2019
Publication statusPublished - Jun 2020
Externally publishedYes


  • Blockchain
  • Internet of Things (IoT)
  • computation offloading
  • edge computing

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