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

M. Garcia Alvarez (Corresponding Author), J.M. Morales, M. Kraak

Research output: Contribution to journalArticleAcademicpeer-review

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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.
Original languageEnglish
Article number1372
Pages (from-to)1-26
Number of pages26
JournalSensors (Switserland)
Volume19
Issue number6
DOIs
Publication statusPublished - 19 Mar 2019

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exploitation
Internet
sensors
Sensors
Processing
Equipment and Supplies
Spatial Analysis
Aptitude
Information Services
Workflow
data integration
Data integration
Information Storage and Retrieval
Air Pollution
Information services
Air pollution
air pollution
Sensor networks
Scalability
decision making

Keywords

  • ITC-GOLD
  • ITC-ISI-JOURNAL-ARTICLE

Cite this

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title = "Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications",
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.",
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Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications. / Garcia Alvarez, M. (Corresponding Author); Morales, J.M.; Kraak, M.

In: Sensors (Switserland), Vol. 19, No. 6, 1372, 19.03.2019, p. 1-26.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Morales, J.M.

AU - Kraak, M.

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