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Sensors (Basel). 2018 May 24;18(6). pii: E1689. doi: 10.3390/s18061689.

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

Author information

1
Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. luizffga@gmail.com.
2
Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. flavio.horita@ufabc.edu.br.
3
Center for Mathematics, Computation and Cognition, Federal University of ABC, Santo André/SP 09210-580, Brazil. flavio.horita@ufabc.edu.br.
4
Federal University of Rio Grande do Sul, Porto Alegre/RS 90040-060, Brazil. edison.pignaton@inf.ufrgs.br.
5
Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. joueyama@icmc.usp.br.
6
Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. J.Porto@warwick.ac.uk.
7
Centre for Interdisciplinary Methodologies, University of Warwick, Coventry CV4 7AL, UK. J.Porto@warwick.ac.uk.

Abstract

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.

KEYWORDS:

Big Data Stream; Crowdsourcing; Disaster Management; Sensor Web Enablement; Service-Oriented Middleware

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