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Sensors 2015, 15(3), 6607-6632; doi:10.3390/s150306607

Sensing in the Collaborative Internet of Things

1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
2
Department of Computing and Technology, Universidade Federal do Rio Grande do Norte, Caicó 59300-000, Brazil
3
Department of Computer Science, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte 30535-901, Brazil
*
Author to whom correspondence should be addressed.
Academic Editors: Luciano Lavagno and Mihai T. Lazarescu
Received: 1 December 2014 / Revised: 12 February 2015 / Accepted: 26 February 2015 / Published: 19 March 2015
(This article belongs to the Special Issue Wireless Sensor Networks and the Internet of Things)
View Full-Text   |   Download PDF [909 KB, uploaded 19 March 2015]   |  

Abstract

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. View Full-Text
Keywords: Internet of Things; sensor search and selection; Sensing Reliability Internet of Things; sensor search and selection; Sensing Reliability
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Borges Neto, J.B.; Silva, T.H.; Assunção, R.M.; Mini, R.A.F.; Loureiro, A.A.F. Sensing in the Collaborative Internet of Things. Sensors 2015, 15, 6607-6632.

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