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

Autor: F G de Assis LF; Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. luizffga@gmail.com., E A Horita F; Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. flavio.horita@ufabc.edu.br.; Center for Mathematics, Computation and Cognition, Federal University of ABC, Santo André/SP 09210-580, Brazil. flavio.horita@ufabc.edu.br., P de Freitas E; Federal University of Rio Grande do Sul, Porto Alegre/RS 90040-060, Brazil. edison.pignaton@inf.ufrgs.br., Ueyama J; Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. joueyama@icmc.usp.br., de Albuquerque JP; Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos/SP 13566-590, Brazil. J.Porto@warwick.ac.uk.; Centre for Interdisciplinary Methodologies, University of Warwick, Coventry CV4 7AL, UK. J.Porto@warwick.ac.uk.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2018 May 24; Vol. 18 (6). Date of Electronic Publication: 2018 May 24.
DOI: 10.3390/s18061689
Abstrakt: 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.
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje