Blockchain, IoT and Fog Computing for Smart Education Management

1b23e71b-4783-4483-9893-818bb177f09620210309082023833naunmdt@crossref.orgMDT DepositInternational Journal of Education and Information Technologies2074-131610.46300/9109http://www.naun.org/cms.action?id=3037430202043020201410.46300/9109.2020.14http://www.naun.org/cms.action?id=23206Blockchain, IoT and Fog Computing for Smart Education ManagementSakchaiChaiyarakSuan Dusit University and King Mongkut's University of Technology North BangkokThailandAlongkornKoednetSuan Dusit University and King Mongkut's University of Technology North BangkokThailandPrachyanunNilsookSuan Dusit University and King Mongkut's University of Technology North BangkokThailandThe objective of this research is to present the use of blockchain technology, the internet of things and fog computing to develop the potential of school management for smart education. By using the blockchain to record and store various pieces of information the organization will create credibility of administrative data in all departments and will reduce corruption. Data can be examined transparently, especially the financial and budget management and procurement of durable articles. Regarding the academic work and registration, it can be used to store learners' information, educational history, information of enrollment, academic results, and participation in the various activities of the educational institutions. It can create credibility in the management of information about content, learning and ability assessment results that students receive, and these can be recorded and stored in a blockchain that can be safely distributed. In addition, IoT and fog computing are integrated with AI systems embedded in various modern devices to be applied in environmental management and smart education management. IoT and fog computing help to support and respond quickly to questions about the use of all types of equipment for real-time management of executives, personnel and students, as well as creating new work and learning styles that can solve the situation of dangerous communicable diseases, such as the COVID-19 situation, or can solve emergency situations that will emerge in the future by working and studying from home. It can organize and share resources for work and learning together to access the organization from outside anywhere and at any time721202072120205261https://www.naun.org/main/NAUN/educationinformation/2020/a142008-007(2020).pdf10.46300/9109.2020.14.7https://www.naun.org/main/NAUN/educationinformation/2020/a142008-007(2020).pdf10.1109/access.2020.2980369S. K. Sharma, I. Woungang, A. Anpalagan, and S. Chatzinotas, “Towards Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues and Future Directions,” IEEE Access, vol. PP, no. ii, pp. 1–1, 2020.10.1109/mnet.001.1900178S. Hakak, W. Z. Khan, G. A. Gilkar, M. Imran, and N. Guizani, “Securing Smart Cities through Blockchain Technology: Architecture, Requirements, and Challenges,” IEEE Netw., vol. 34, no. 1, pp. 8–14, 2020.10.1109/access.2020.2979022B. Wang, M. Li, X. Jin, and C. Guo, “A Reliable IoT Edge Computing Trust Management Mechanism for Smart Cities,” IEEE Access, vol. 8, pp. 46373–46399, 2020.10.1109/access.2020.2972284C. K. M. Lee, Y. Z. Huo, S. Z. Zhang, and K. K. H. Ng, “Design of a Smart Manufacturing System with the Application of Multi-Access Edge Computing and Blockchain Technology,” IEEE Access, vol. 8, pp. 28659–28667, 2020.10.1109/access.2020.2975142M. Gupta, M. Abdelsalam, S. Khorsandroo, and S. Mittal, “Security and Privacy in Smart Farming: Challenges and Opportunities,” IEEE Access, vol. 8, pp. 34564–34584,2020.10.18178/ijiet.2017.7.10.961J. Nookhong and P. Nilsook, “Green University Resource Planning on Cloud Computing,” Int. J. Inf. Educ. Technol., vol. 7, no. 10, pp. 722–727, 2017.10.3991/ijoe.v15i03.8533W. Kuandee, P. Nilsook, and P. Wannapiroon, “Asset supply chain management system-based IoT technology for higher education institutions,” Int. J. online Biomed. Eng., vol. 15, no. 3, pp. 4–20, 2019.10.1109/educon.2019.8725213H. D. Mohammadian, “IoT –a Solution for Educational Management Challenges,” in 2019 IEEE Global Engineering Education Conference (EDUCON), 2019, pp. 1400–1406.10.1109/comst.2016.2535718F. Tschorsch and B. Scheuermann, “Bitcoin and beyond: A technical survey on decentralized digital currencies,” IEEE Commun. Surv. Tutorials, vol. 18, no. 3, pp. 2084–2123, 2016.10.1109/access.2018.2789929M. Turkanović, M. Hölbl, K. Košič, M. Heričko, and A. Kamišalić, “EduCTX: A blockchain-based higher education credit platform,” IEEE Access, vol. 6, pp. 5112–5127, Jan. 201810.1097/acm.0000000000002326E. Funk, J. Riddell, F. Ankel, and D. Cabrera, “Blockchain technology: A data framework to improve validity, trust, and accountability of information exchange in health professions education,” Acad. Med., vol. 93, no. 12, pp. 1791–1794, 2018.F. R. Batubara, J. Ubacht, and M. Janssen, “Challenges of blockchain technology adoption for e-government: A systematic literature review,” ACM Int. Conf. Proceeding Ser., 2018.10.1007/s41635-019-00079-5P. Cui, U. Guin, A. Skjellum, and D. Umphress, “Blockchain in IoT: Current Trends, Challenges, and Future Roadmap,” J. Hardw. Syst. Secur., vol. 3, no. 4, pp. 338–364, 2019.10.3390/app9122400A. Alammary, S. Alhazmi, M. Almasri, and S. Gillani, “Blockchain-Based Applications in Education: A Systematic Review,” Appl. Sci., vol. 9, no. 12, p. 2400, Jun. 2019.T. K. Mackey et al., “‘Fit-for-purpose?’ -Challenges and opportunities for applications of blockchain technology in the future of healthcare,” BMC Med., vol. 17, no. 1, pp. 1–17, 2019.10.1007/s10664-019-09708-7A. Bosu, A. Iqbal, R. Shahriyar, and P. Chakraborty, “Understanding the motivations, challenges and needs of Blockchain software developers: a survey,” Empir. Softw. Eng., vol. 24, no. 4, pp. 2636–2673, 2019.T. Caradonna, “Blockchain and society,” Informatik-Spektrum, 2020.10.1007/s10586-020-03059-5D. Pavithran, K. Shaalan, J. N. Al-Karaki, and A. Gawanmeh, “Towards building a blockchain framework for IoT,” Cluster Comput., 2020.10.1145/3241815.3241870M. Han, D. Wu, Z. Li, Y. Xie, J. S. He, and A. Baba, “A novel blockchain-based education records verification solution,” in SIGITE 2018 -Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018, pp. 178–183.J. Guo, C. Li, G. Zhang, Y. Sun, and R. Bie, “Blockchain-enabled digital rights management for multimedia resources of online education,” Multimed. Tools Appl., 2019.10.1007/s12528-019-09209-yD. Lizcano, J. A. Lara, B. White, and S. Aljawarneh, “Blockchain-based approach to create a model of trust in open and ubiquitous higher education,” J. Comput. High. Educ.,vol. 32, no. 1, pp. 109–134, Apr. 2020.10.1016/j.iot.2019.100118S. S. Gill et al., “Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges,” Internet of Things, vol. 8, p. 100118, 2019.10.30534/ijatcse/2019/94852019R. Khdhir and A. Belghith, “5G LTE-A cognitive multiclass scheduling scheme for internet of things,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 8, no. 5, pp. 2485–2491, 2019.10.1186/s13673-019-0190-9J. ho Park, M. M. Salim, J. H. Jo, J. C. S. Sicato, S. Rathore, and J. H. Park, “CIoT-Net: ascalable cognitive IoT based smart city network architecture,” Human-centric Comput. Inf. Sci., vol. 9, no. 1, 2019.10.1109/access.2019.2949703M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, “A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming,” IEEE Access, vol. 7, pp. 156237–156271, 2019.10.1109/access.2020.2973178M. A. Ferrag, L. Shu, X. Yang, A. Derhab, and L. Maglaras, “Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges,” IEEE Access, vol. 8, pp. 32031–32053, 2020.10.1109/access.2020.2968492H. Liu, D. Han, and D. Li, “Fabric-iot: A Blockchain-Based Access Control System in IoT,” IEEE Access, vol. 8, pp. 18207–18218, 2020.10.1109/access.2019.2961952Z. He, Y. Zhang, B. Tak, and L. Peng, “Green Fog Planning for Optimal Internet-of-Thing Task Scheduling,” IEEE Access, vol. 8, pp. 1224–1234, 2020.10.1109/access.2020.2975920S. Choi and J.-H. Lee, “Blockchain-Based Distributed Firmware Update Architecture for IoT Devices,” IEEE Access, vol. 8, pp. 37518–37525, 2020.10.1109/access.2020.2968741C. Badii, P. Bellini, A. Difino, and P. Nesi, “Smart city IoT platform respecting GDPR privacy and security aspects,” IEEE Access, vol. 8, pp. 23601–23623, 2020.10.1109/access.2020.2970118K. Shafique, B. A. Khawaja, F. Sabir, S. Qazi, and M. Mustaqim, “Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios,” IEEE Access, vol. 8, pp. 23022–23040, 2020.10.5430/wje.v8n2p159R. Morales and Y. Heredia, “Igniting the Innovation’s Competencies at Engineering Schools: IoT to the Cloud Labs Network in Mexico,” World Journal of Education, vol. 8, no. 2. p. 159, 2018.10.1007/s12599-018-0540-6C. Matt, “Fog Computing: Complementing Cloud Computing to Facilitate Industry 4.0,” Bus. Inf. Syst. Eng., vol. 60, no. 4, pp. 351–355, 2018.10.1109/access.2019.2947652M. De Donno, K. Tange, and N. Dragoni, “Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog,” IEEE Access, vol. 7, pp. 150936–150948, 2019.10.1109/access.2019.2912897F. Lin, Y. Zhou, I. You, J. Lin, X. An, and X. Lü, “Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment,” IEEE Access, vol. 7, pp. 53677–53686, 2019.10.1109/access.2019.2923610Q. Qi and F. Tao, “A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing,” IEEE Access, vol. 7, pp. 86769–86777, 2019.A. Raman, “Potentials of fog computing in higher education,” Int. J. Emerg.Technol. Learn., vol. 14, no. 18, pp. 194–202, 2019.10.1109/access.2020.2973325A. Ben Amor, M. Abid, and A. Meddeb, “Secure Fog-Based E-Learning Scheme,” IEEE Access, vol. 8, pp. 31920–31933, 2020.10.1109/icl.2015.7318082A. Dandashi, A. Karkar, J. Aljaam, S. A. El-Seoud, and O. Ibrahim, “Framework for development of cognitive technology for children with hearing impairments,” Proc. 2015 Int. Conf. Interact. Collab. Learn. ICL 2015, no. September, pp. 515–522, 2015.R. Balasubramanian, A. Libarikian, and D. McElhaney, “Insurance 2030 –The impact of AI on the future of insurance,” Digit. McKinsey Co., no. May, pp. 1–12, 2018.10.1109/mwc.2019.1800351K. Lin, C. Li, D. Tian, A. Ghoneim, M. S. Hossain, and S. U. Amin, “Artificial-Intelligence-Based Data Analytics for Cognitive Communicationin Heterogeneous Wireless Networks,” IEEE Wirel. Commun., vol. 26, no. 3, pp. 83–89, 2019.10.1109/aivr.2018.00056Y. Liu and P. Tang, “The prospect for the application of the surgical navigation system based on artificial intelligence and augmented reality,” Proc. -2018 IEEE Int. Conf. Artif. Intell. Virtual Reality, AIVR 2018, pp. 244–246, 2019.10.1109/access.2019.2956136J. Estevez, G. Garate, and M. Graña, “Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch,” IEEE Access, vol. 7, pp. 179027–179036, 2019.10.1109/iciss48059.2019.8969844J. Suwita, R. Kosala, B. Ranti, and S. H. Supangkat, “Factors considered for the success of the Massive Open Online Course in the era of Smart Education: Systematic Literature Review,” Proceeding -2019 Int. Conf. ICT Smart Soc. Innov. Transform. Towar. Smart Reg. ICISS 2019, pp. 0–4,2019.10.1109/access.2020.2968554S. Fu, F. Yang, and Y. Xiao, “AI Inspired Intelligent Resource Management in Future Wireless Network,” IEEE Access, vol. 8, pp. 22425–22433, 2020.M. A. Goralski and T. K. Tan, “Artificial intelligence and sustainable development,” Int. J. Manag. Educ., vol. 18, no. 1, 2020.M. Liu and L. Li, “The construction of smart campus in universities and the practical innovation of student work,” ACM Int. Conf. Proceeding Ser., pp. 154–157, 2018.10.3991/ijet.v14i23.11066N. Songsom, P. Nilsook, P. Wannapiroon, C. C. Fung, and K. W. Wong, “System architecture of a student relationship management system using Internet of Things to collect digital footprint of higher education institutions,” Int. J. Emerg. Technol. Learn., vol. 14, no. 23, pp. 125–140, 2019.X. Zhou, “Application Research of Face Recognition Technology in Smart Campus,” 2020, vol. 1437, no. 1.10.1109/access.2018.2877428A. M. Yang, S. S. Li, C. H. Ren, H. X. Liu, Y. Han, and L. Liu, “Situational Awareness System in the Smart Campus,” IEEE Access, vol. 6, pp. 63976–63986, 2018.A. Majeed and M. Ali, “How Internet-of-Things (IoT) making the university campuses smart? QA higher education (QAHE) perspective,” 2018 IEEE 8th Annu. Comput. Commun. Work. Conf. CCWC 2018, vol. 2018-Janua, pp. 646–648, 2018.O. Akhrif, Y. E. B. El Idrissi, and N. Hmina, “Smart university: SOC-based study,” ACM Int. Conf. Proceeding Ser., 2018.L. M. Palma, M. A. G. Vigil, F. L. Pereira, and J. E. Martina, “Blockchain and smart contracts for higher education registry in Brazil,” in International Journal of Network Management, 2019, vol. 29, no. 3.W. Shi et al., “Review on Development of Smart Education,” Proc. -IEEE Int. Conf. Serv. Oper. Logist. Informatics 2019, SOLI 2019, pp. 157–162, 2019.10.1088/1742-6596/1437/1/012043S. Yuxia, “Researches on the Construction of the Smart Campus System with respect to the Higher Vocational Colleges in the Information Age-Taking Dalian Vocational and Technical College as an Example,” J. Phys. Conf. Ser., vol. 1437, no. 1, 2020.