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Blockchain-Enabled Collaborative Edge Computing for Intelligent Education Systems Using Social IoT

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  • Xun Liu

    (TianGong University, China)

Abstract

As new technologies such as the internet of things, big data analysis, artificial intelligence, and cloud computing are widely used, intelligent learning platforms and web-based educational platforms are gaining popularity. Social internet of things (SIoT) uses mobile edge computing and interpersonal interactions among SIoT users to take advantage of the benefits that collaborative edge computing (CEC) offers, even while posing new challenges. The communication efficiency and the security of intelligent education systems must be considerably developed to ensure real-time services. Therefore, this work deliberates an advanced structural framework for a blockchain-enabled 6G communication network (BC-6GCN) for the intelligent education system. Schools must analyze massive data volumes to provide intelligent education services, leaving the data open to manipulation by malicious hackers. The challenges discussed can lead to the potential advancement of protected, reliable, and smart SIoT frameworks.

Suggested Citation

  • Xun Liu, 2022. "Blockchain-Enabled Collaborative Edge Computing for Intelligent Education Systems Using Social IoT," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 13(7), pages 1-19, July.
    • Handle: RePEc:igg:jdst00:v:13:y:2022:i:7:p:1-19
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