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Task offloading based on deep learning for blockchain in mobile edge computing

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Abstract

Blockchain is an advanced technique to realize smart contracts, various transactions, and P2P crypto-currencies in the e-commerce society. However, the traditional blockchain does not consider a mobile environment to design a data offloading of the blockchain such that the blockchain results in high computational cost and huge data propagation delay. In this paper, to remedy the above problem, we propose a scalable blockchain and a task offloading technique based on the neural network of the mobile edge computing scenario. Experimental results show that our approach is very scalable in the mobile scenario.

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Authors and Affiliations

  1. Department of Multimedia Design, National Taichung University of Science and Technology, Taichung, Taiwan, ROC

    Chung-Hua Chu

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  1. Chung-Hua Chu
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Correspondence to Chung-Hua Chu.

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Chu, CH. Task offloading based on deep learning for blockchain in mobile edge computing. Wireless Netw 27, 117–127 (2021). https://doi.org/10.1007/s11276-020-02444-7

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