Beyond data in the smart city : learning from a case study of re-purposing existing campus IoT

Bates, Oliver Emile Glaves and Friday, Adrian John (2017) Beyond data in the smart city : learning from a case study of re-purposing existing campus IoT. IEEE Pervasive Computing, 16 (2). pp. 54-60. ISSN 1536-1268

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Abstract

In this article we present a case study of our experiences of using existing IoT infrastructure to create a campus scale “living laboratory” for promoting energy savings and environmental sustainability. As a series of lessons for others creating IoT systems from existing city infrastructures we offer the challenges we have experienced through our attempt to join up and re-purpose existing energy monitoring and building management systems as an IoT infrastructure for a “smart campus”. We highlight the limitations of particular views of a campus from a purely data-driven perspective, advocating data- aware over data-driven approaches that engage with a wide variety of stakeholders. Finally, we reflect on the inclusion of people’s practices in understanding and designing smart cities, repurposing existing IoT, more careful consideration of ethics and domestication when co-creating smart campuses and the importance of challenging the existing rhetoric around energy waste in Smart Cities and Smart buildings research.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Pervasive Computing
Additional Information:
©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1703
Subjects:
?? computational theory and mathematicssoftwarecomputer science applications ??
ID Code:
84118
Deposited By:
Deposited On:
27 Jan 2017 09:34
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Apr 2024 00:34