Citation

de Assis LFFG, Horita FEA, de Freitas EP, Ueyama J, de Albuquerque JP. Sensors (Basel) 2018; 18(6): s18061689.

Affiliation

Centre for Interdisciplinary Methodologies, University of Warwick, Coventry CV4 7AL, UK. J.Porto@warwick.ac.uk.

Copyright

(Copyright © 2018, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s18061689

PMID

29794979

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.

Language: en

Keywords

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