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| Title | Towards Next Generation Teaching, Learning, And Context-Aware Applications For Higher Education: A Review On Blockchain, Iot, Fog And Edge Computing Enabled Smart Campuses And Universities |
|---|---|
| ID_Doc | 58236 |
| Authors | Fernández-Caramés T.M.; Fraga-Lamas P. |
| Year | 2019 |
| Published | Applied Sciences (Switzerland), 9, 21 |
| DOI | http://dx.doi.org/10.3390/app9214479 |
| Abstract | Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities. © 2019 by the authors. |
| Author Keywords | Blockchain; Context-aware applications; Edge computing; Fog computing; Higher education; IoT; Smart campus; Smart cities; Smart university; Teaching and learning |
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