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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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. [1, 2] ; Horita, Flavio E. A. [1] ; de Freitas, Edison P. [3] ; Ueyama, Jo [1] ; de Albuquerque, Joao Porto [1, 4]
Total Authors: 5
[1] Univ Sao Paulo, Inst Math & Comp Sci ICMC, BR-13566590 Sao Carlos, SP - Brazil
[2] Fed Univ ABC, Ctr Math Computat & Cognit, BR-09210580 Santo Andre, SP - Brazil
[3] Univ Fed Rio Grande do Sul, BR-90040060 Porto Alegre, RS - Brazil
[4] Univ Warwick, Ctr Interdisciplinary Methodol, Coventry CV4 7AL, W Midlands - England
Total Affiliations: 4
Document type: Journal article
Source: SENSORS; v. 18, n. 6 JUN 2018.
Web of Science Citations: 3

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. (AU)

FAPESP's process: 15/21642-6 - Enhancing intelligence in IoTs: approaches and applications in sensors, UAVs and smartphones
Grantee:Jó Ueyama
Support type: Regular Research Grants
FAPESP's process: 14/01515-7 - Service-oriented middleware for dynamic, real-time management of heterogeneous geosensors in flood management
Grantee:Luiz Fernando Ferreira Gomes de Assis
Support type: Scholarships abroad - Research Internship - Master's degree
FAPESP's process: 13/16202-1 - Service-oriented Middleware that dynamically manages in real-time heterogeneous geosensors in flood management
Grantee:Luiz Fernando Ferreira Gomes de Assis
Support type: Scholarships in Brazil - Master