@article{ref1,
title="A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management",
journal="Sensors (Basel)",
year="2018",
author="de Assis, Luiz Fernando F. G. and Horita, Flávio E. A. and de Freitas, Edison P. and Ueyama, Jó and de Albuquerque, João Porto",
volume="18",
number="6",
pages="s18061689-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 &quot;citizens as sensors&quot; 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.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s18061689",
url="http://dx.doi.org/10.3390/s18061689"
}