Applicability of Big Data techniques to Smart Cities deployments
Applicability of Big Data techniques to Smart Cities deployments
This paper presents the main foundations of Big Data applied to Smart Cities. A general Internet of Things based architecture is proposed to be applied to different smart cities applications. We describe two scenarios of big data analysis. One of them illustrates some services implemented in the smart campus of the University of Murcia. The second one is focused on a tram service scenario where thousands of transit-card transactions should be processed. Results obtained from both scenarios show the potential of the applicability of this kind of techniques to provide profitable services of smart cities, such as the management of the energy consumption and comfort in smart buildings, and the detection of travel profiles in smart transport.
internet of things, smart city, big data, predictive models, transit-card mining
1-10
Moreno, M. Victoria
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Terroso-Sáenz, Fernando
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González-Vidal, Aurora
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Valdés-Vela, Mercedes
56d20556-b48e-4826-bf0a-4e65ae561030
Skarmeta, Antonio F.
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Zamora, Miguel A.
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Chang, Victor
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Moreno, M. Victoria
aced659f-e1a6-44c7-9655-2eec8a8785c4
Terroso-Sáenz, Fernando
74296e2c-6071-499b-82cb-d3fb8538e67a
González-Vidal, Aurora
f05b1720-7074-4d66-ad24-98cdc8b4eccb
Valdés-Vela, Mercedes
56d20556-b48e-4826-bf0a-4e65ae561030
Skarmeta, Antonio F.
fb2394a4-89ed-49b7-9dcf-e0534c181346
Zamora, Miguel A.
f454e427-2dc5-41ef-a187-11cd601db8ec
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Moreno, M. Victoria, Terroso-Sáenz, Fernando, González-Vidal, Aurora, Valdés-Vela, Mercedes, Skarmeta, Antonio F., Zamora, Miguel A. and Chang, Victor
(2016)
Applicability of Big Data techniques to Smart Cities deployments.
IEEE Transaction on Industrial Informatics, .
(doi:10.1109/TII.2016.2605581).
Abstract
This paper presents the main foundations of Big Data applied to Smart Cities. A general Internet of Things based architecture is proposed to be applied to different smart cities applications. We describe two scenarios of big data analysis. One of them illustrates some services implemented in the smart campus of the University of Murcia. The second one is focused on a tram service scenario where thousands of transit-card transactions should be processed. Results obtained from both scenarios show the potential of the applicability of this kind of techniques to provide profitable services of smart cities, such as the management of the energy consumption and comfort in smart buildings, and the detection of travel profiles in smart transport.
Text
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More information
Accepted/In Press date: 15 August 2016
e-pub ahead of print date: 1 September 2016
Keywords:
internet of things, smart city, big data, predictive models, transit-card mining
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 400352
URI: http://eprints.soton.ac.uk/id/eprint/400352
ISSN: 1551-3203
PURE UUID: dbad56e7-e09f-47d0-b25d-e177654bca60
Catalogue record
Date deposited: 10 Sep 2016 10:21
Last modified: 15 Mar 2024 05:53
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Contributors
Author:
M. Victoria Moreno
Author:
Fernando Terroso-Sáenz
Author:
Aurora González-Vidal
Author:
Mercedes Valdés-Vela
Author:
Antonio F. Skarmeta
Author:
Miguel A. Zamora
Author:
Victor Chang
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