Recently, the number of devices has grown increasingly and it is hoped that, between 2015 and 2016, 20 billion devices will be connected to the Internet and this market will move around 91.5 billion dollars. The Internet of Things (IoT) is composed of small sensors and actuators embedded in objects with Internet access and will play a key role in solving many challenges faced in today's society. However, the real capacity of IoT concepts is constrained as the current sensor networks usually do not exchange information with other sources. In this paper, we propose the Visual Search for Internet of Things (ViSIoT) platform to help technical and non-technical users to discover and use sensors as a service for different application purposes. As a proof of concept, a real case study is used to generate weather condition reports to support rheumatism patients. This case study was executed in a working prototype and a performance evaluation is presented.
@article{arxiv.1606.07932,
title = {A Distributed Sensor Data Search Platform for Internet of Things Environments},
author = {Luiz Nunes and Julio Estrella and Luis Nakamura and Rafael de Libardi and Carlos Ferreira and Liuri Jorge and Charith Perera and Stephan Reiff-Marganiec},
journal= {arXiv preprint arXiv:1606.07932},
year = {2016}
}
Comments
International Journal of Services Computing (ISSN 2330-4472) Vol. 4, No.1, January - March, 2016