Sensing in the Collaborative Internet of Things
Autor: | Antonio A. F. Loureiro, Raquel A. F. Mini, João B. Borges Neto, Renato M. Assunção, Thiago H. Silva |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Engineering
SIMPLE (military communications protocol) business.industry Process (engineering) Internet of Things Data reliability lcsh:Chemical technology Biochemistry Data science Atomic and Molecular Physics and Optics Article Analytical Chemistry Sensing Reliability Order (business) sensor search and selection Selection (linguistics) lcsh:TP1-1185 Electrical and Electronic Engineering business Instrumentation |
Zdroj: | Sensors, Vol 15, Iss 3, Pp 6607-6632 (2015) Sensors (Basel, Switzerland) Sensors Volume 15 Issue 3 Pages 6607-6632 |
ISSN: | 1424-8220 |
Popis: | 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. |
Databáze: | OpenAIRE |
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