Cameron, C and Li, K orcid.org/0000-0001-6657-0522 (2018) Low-Cost, Extensible and Open Source Home Automation Framework. In: Li, K, Fei, M, Du, D, Yang, Z and Yang, D, (eds.) Intelligent Computing and Internet of Things. IMIOT 2018: International Conference on Intelligent Manufacturing and Internet of Things and ICSEE 2018: 5th International Conference on Computing for Sustainable Energy and Environment, 21-23 Sep 2018, Chongqing, China. Springer , pp. 408-418. ISBN 978-981-13-2383-6
Abstract
The implementation of an IoT application usually depends on a framework, platform or ecosystem - of which there are many choices available, both closed- and open-source, each presenting their own vision. By reviewing a range of different options with respect to features, price and customisability it is shown that each provider tends to limit the available opportunities in their platform, either intentionally or unintentionally. Therefore an open-source framework with NodeRED at its core is developed and presented which imposes minimal constraints upon the user/developer, encourages novices to learn and safeguards the privacy of its users.
This approach is verified by building a demonstration system which is retrofitted to an old property and successfully provides heating system control and finger print entry. The use of heterogeneous nodes and the integration of 2 radio technologies serve to underscore the technological agnosticism and flexibility of this framework.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018, Springer Nature Singapore Pte Ltd. This is a post-peer-review, pre-copyedit version of an article published in Intelligent Computing and Internet of Things. The final authenticated version is available online at: https://doi.org/10.1007/978-981-13-2384-3_38. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Home automation; IoT; Open-Source; Low cost; NodeRED; MQTT |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Nov 2018 16:49 |
Last Modified: | 04 Sep 2019 00:42 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-981-13-2384-3_38 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139067 |