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A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management
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de Assis , Luiz Fernando F. G., Horita, Flávio Eduardo A., de Freitas, Edison P., Ueyama, Jó and Albuquerque, João Porto de (2018) A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management. Sensors, 18 (6). 1689. doi:10.3390/s18061689 ISSN 1424-8220.
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Official URL: https://doi.org/10.3390/s18061689
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.
Item Type: | Journal Article | |||||||||||||||||||||||||||||||||
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Subjects: | H Social Sciences > HV Social pathology. Social and public welfare Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | |||||||||||||||||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Middleware, Emergency management, Sensor networks, Crowdsourcing | |||||||||||||||||||||||||||||||||
Journal or Publication Title: | Sensors | |||||||||||||||||||||||||||||||||
Publisher: | MDPI AG | |||||||||||||||||||||||||||||||||
ISSN: | 1424-8220 | |||||||||||||||||||||||||||||||||
Official Date: | 24 May 2018 | |||||||||||||||||||||||||||||||||
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Volume: | 18 | |||||||||||||||||||||||||||||||||
Number: | 6 | |||||||||||||||||||||||||||||||||
Article Number: | 1689 | |||||||||||||||||||||||||||||||||
DOI: | 10.3390/s18061689 | |||||||||||||||||||||||||||||||||
Status: | Peer Reviewed | |||||||||||||||||||||||||||||||||
Publication Status: | Published | |||||||||||||||||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||||||||||||||||||||
Date of first compliant deposit: | 24 May 2018 | |||||||||||||||||||||||||||||||||
Date of first compliant Open Access: | 24 May 2018 | |||||||||||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
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