A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management

de Assis, L. F. F. G., Horita, F. E. A., de Freitas, E. P., Ueyama, J. and Porto de Albuquerque, J. (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) (PMID:29794979) (PMCID:PMC6022089)

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: Articles
• Additional Information: Acknowledgments: The authors would like to thank the research funding grants provided by: the Engineering and Physical Sciences Research Council (EPSRC) through the Global Challenges Research Fund, CAPES #88887.091743/2014-01 (ProAlertas CEPED/USP), FAPESP (Grant no. 2013/16202-1, 2014/01515-7 and 2017/09889-1) and CNPq (Grant no. 202453/2014-6 and 477499/2012-0). Jó Ueyama would like to thank FAPESP (Grant no. 2015/21642-6) and Office of Naval Research Global for funding his research work.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Porto de Albuquerque, Professor Joao
• Authors: de Assis, L. F. F. G., Horita, F. E. A., de Freitas, E. P., Ueyama, J., and Porto de Albuquerque, J.
• College/School: College of Social Sciences > School of Social and Political Sciences > Urban Studies
• Journal Name: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• ISSN (Online): 1424-8220
• Published Online: 24 May 2018
• Copyright Holders: Copyright © 2018 by the authors
• First Published: First published in Sensors 18(6):1689
• Publisher Policy: Reproduced under a Creative Commons Licence