Sensing in the Collaborative Internet of Things

Sensors

João B. Borges Neto²  Thiago H. Silva²  Renato Martins Assunção²  Raquel A. F. Mini¹  Antonio A. F. Loureiro²  Luciano Lavagno³ 

[1] Department of Computer Science, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte 30535-901, Brazil; E-Mail:;Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil; E-Mails:Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;

关键词: Internet of Things;    sensor search and selection;    Sensing Reliability;   

DOI  :  10.3390/s150306607

来源: mdpi

【 摘 要 】

We are entering a new era of computing technology, the era of Internet of Things (IoT). An important element for this popularization is the large use of off-the-shelf sensors. Most of those sensors will be deployed by different owners, generally common users, creating what we call the Collaborative IoT. This collaborative IoT helps to increase considerably the amount and availability of collected data for different purposes, creating new interesting opportunities, but also several challenges. For example, it is very challenging to search for and select a desired sensor or a group of sensors when there is no description about the provided sensed data or when it is imprecise. Given that, in this work we characterize the properties of the sensed data in the Internet of Things, mainly the sensed data contributed by several sources, including sensors from common users. We conclude that, in order to safely use data available in the IoT, we need a filtering process to increase the data reliability. In this direction, we propose a new simple and powerful approach that helps to select reliable sensors. We tested our method for different types of sensed data, and the results reveal the effectiveness in the correct selection of sensor data.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.