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Sensors 2019, 19(6), 1372; https://doi.org/10.3390/s19061372

Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications

Geo-information Processing Department, ITC Faculty, University of Twente, Hengelosestraat 99, 7514 AE Enschede, The Netherlands
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Received: 3 February 2019 / Revised: 8 March 2019 / Accepted: 14 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue Smart IoT Sensing)
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Abstract

Smart cities are urban environments where Internet of Things (IoT) devices provide a continuous source of data about urban phenomena such as traffic and air pollution. The exploitation of the spatial properties of data enables situation and context awareness. However, the integration and analysis of data from IoT sensing devices remain a crucial challenge for the development of IoT applications in smart cities. Existing approaches provide no or limited ability to perform spatial data analysis, even when spatial information plays a significant role in decision making across many disciplines. This work proposes a generic approach to enabling spatiotemporal capabilities in information services for smart cities. We adopted a multidisciplinary approach to achieving data integration and real-time processing, and developed a reference architecture for the development of event-driven applications. This type of applications seamlessly integrates IoT sensing devices, complex event processing, and spatiotemporal analytics through a processing workflow for the detection of geographic events. Through the implementation and testing of a system prototype, built upon an existing sensor network, we demonstrated the feasibility, performance, and scalability of event-driven applications to achieve real-time processing capabilities and detect geographic events. View Full-Text
Keywords: event-driven applications; IoT applications; reference architecture; geographic events; complex event processing; sensors; smart cities event-driven applications; IoT applications; reference architecture; geographic events; complex event processing; sensors; smart cities
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Garcia Alvarez, M.; Morales, J.; Kraak, M.-J. Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications. Sensors 2019, 19, 1372.

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