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Article

Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development

by 1,2,†, 1,*,†, 1,† and 1
1
Concordia University, 1455 De Maisonneuve Boul. W, Montreal, QC H3G 1M8, Canada
2
Jeddart University, Hamzah Ibn Al Qasim Street, Al Sharafeyah, Jeddah 23218, Saudi Arabia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(11), 2430; https://doi.org/10.3390/s19112430
Received: 25 March 2019 / Revised: 19 May 2019 / Accepted: 20 May 2019 / Published: 28 May 2019
(This article belongs to the Special Issue Smart IoT Sensing)
Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the “things” from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications. View Full-Text
Keywords: smart cities; big data; data model; databases; data integration; internet of things (IoT) smart cities; big data; data model; databases; data integration; internet of things (IoT)
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MDPI and ACS Style

Alsaig, A.; Alagar, V.; Chammaa, Z.; Shiri, N. Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development. Sensors 2019, 19, 2430. https://doi.org/10.3390/s19112430

AMA Style

Alsaig A, Alagar V, Chammaa Z, Shiri N. Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development. Sensors. 2019; 19(11):2430. https://doi.org/10.3390/s19112430

Chicago/Turabian Style

Alsaig, Alaa, Vangalur Alagar, Zaki Chammaa, and Nematollaah Shiri. 2019. "Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development" Sensors 19, no. 11: 2430. https://doi.org/10.3390/s19112430

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