Teaching Internet of Things in a collaborative laboratory environment

Maiti, Ananda and Byrne, Terry and Kist, Alexander ORCID: https://orcid.org/0000-0001-9105-7050 (2019) Teaching Internet of Things in a collaborative laboratory environment. In: 5th Experiment@International Conference (exp.at'19), 12 June - 14 June 2019, Madeira, Portugal.


Abstract

Internet of Things (IoT) is a network-based system of devices exchanging different kinds of data for decision making. It has multi-disciplinary facets which make it tricky to teach as a university course. Students must be provided with practical learning opportunities to understand the complexities of the Internet of Things applications. This can be challenging as IoT has evolved rapidly with time. This paper introduces a collaborative learning activity that allows students to use real sensors and systems in a laboratory environment. A smart farming based agricultural application is a use case for the laboratory coursework. Real sensors and nodes are used to build a working farm IoT system. It covers sensor-based end-node design, communication, system design, data presentations, and collaborative discussions.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 09 Mar 2022 03:28
Last Modified: 16 Mar 2022 00:13
Uncontrolled Keywords: internet-of-things, e-learning, laboratory education, collaborative learning, Arduino
Fields of Research (2020): 40 ENGINEERING > 4010 Engineering practice and education > 401002 Engineering education
46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460603 Cyberphysical systems and internet of things
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220404 Computer systems
28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering
Identification Number or DOI: https://doi.org/10.1109/EXPAT.2019.8876480
URI: http://eprints.usq.edu.au/id/eprint/47152

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