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Article

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management

1
Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil
2
Federal University of Rio Grande do Sul, Porto Alegre/RS 90040-060, Brazil
3
Centre for Interdisciplinary Methodologies, University of Warwick, Coventry CV4 7AL, UK
4
Center for Mathematics, Computation and Cognition, Federal University of ABC, Santo André/SP 09210-580, Brazil
*
Author to whom correspondence should be addressed.
Assis, L.F.F.G.; Behnck, L.P.; Doering, D.; de Freitas, E.P.; Pereira, C.E.; Horita, F.E.A.; Ueyama, J.; de Albuquerque, J.P. Dynamic sensor management: Extending sensor web for near real-time mobile sensor integration in dynamic scenarios. In Proceedings of the 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), Crans-Montana, Switzerland, 23–25 March 2016; pp. 303–310. Assis, L.F.F.G.; de Albuquerque, J.P.; Herfort, B.; Steiger, E.; Horita, F.E.A. Geographical prioritization of social network messages in near real-time using sensor data streams: An application to floods. Brazilian Cartography Journal 2016, 68(6).
Sensors 2018, 18(6), 1689; https://doi.org/10.3390/s18061689
Received: 31 January 2018 / Revised: 26 April 2018 / Accepted: 15 May 2018 / Published: 24 May 2018
(This article belongs to the Special Issue Remote Sensing and GIS for Geo-Hazards and Disasters)
The increasing number of sensors used in diverse applications has provided a massive number of continuous, unbounded, rapid data and requires the management of distinct protocols, interfaces and intermittent connections. As traditional sensor networks are error-prone and difficult to maintain, the study highlights the emerging role of “citizens as sensors” as a complementary data source to increase public awareness. To this end, an interoperable, reusable middleware for managing spatial, temporal, and thematic data using Sensor Web Enablement initiative services and a processing engine was designed, implemented, and deployed. The study found that its approach provided effective sensor data-stream access, publication, and filtering in dynamic scenarios such as disaster management, as well as it enables batch and stream management integration. Also, an interoperability analytics testing of a flood citizen observatory highlighted even variable data such as those provided by the crowd can be integrated with sensor data stream. Our approach, thus, offers a mean to improve near-real-time applications. View Full-Text
Keywords: Service-Oriented Middleware; Sensor Web Enablement; Disaster Management; Big Data Stream; Crowdsourcing Service-Oriented Middleware; Sensor Web Enablement; Disaster Management; Big Data Stream; Crowdsourcing
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MDPI and ACS Style

F. G. de Assis, L.F.; E. A. Horita, F.; P. de Freitas, E.; Ueyama, J.; De Albuquerque, J.P. A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management. Sensors 2018, 18, 1689. https://doi.org/10.3390/s18061689

AMA Style

F. G. de Assis LF, E. A. Horita F, P. de Freitas E, Ueyama J, De Albuquerque JP. A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management. Sensors. 2018; 18(6):1689. https://doi.org/10.3390/s18061689

Chicago/Turabian Style

F. G. de Assis, Luiz F.; E. A. Horita, Flávio; P. de Freitas, Edison; Ueyama, Jó; De Albuquerque, João P. 2018. "A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management" Sensors 18, no. 6: 1689. https://doi.org/10.3390/s18061689

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