Sensing in the Collaborative Internet of Things
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/3/6607 |
| _version_ | 1811299893218639872 |
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| author | João B. Borges Neto Thiago H. Silva Renato Martins Assunção Raquel A. F. Mini Antonio A. F. Loureiro |
| author_facet | João B. Borges Neto Thiago H. Silva Renato Martins Assunção Raquel A. F. Mini Antonio A. F. Loureiro |
| author_sort | João B. Borges Neto |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T06:43:26Z |
| format | Article |
| id | doaj.art-e6e49a3adfa948efa206465fdc55c8f1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:43:26Z |
| publishDate | 2015-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e6e49a3adfa948efa206465fdc55c8f12022-12-22T02:57:41ZengMDPI AGSensors1424-82202015-03-011536607663210.3390/s150306607s150306607Sensing in the Collaborative Internet of ThingsJoão B. Borges Neto0Thiago H. Silva1Renato Martins Assunção2Raquel A. F. Mini3Antonio A. F. Loureiro4Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, BrazilDepartment of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, BrazilDepartment of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, BrazilDepartment of Computer Science, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte 30535-901, BrazilDepartment of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, BrazilWe 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.http://www.mdpi.com/1424-8220/15/3/6607Internet of Thingssensor search and selectionSensing Reliability |
| spellingShingle | João B. Borges Neto Thiago H. Silva Renato Martins Assunção Raquel A. F. Mini Antonio A. F. Loureiro Sensing in the Collaborative Internet of Things Sensors Internet of Things sensor search and selection Sensing Reliability |
| title | Sensing in the Collaborative Internet of Things |
| title_full | Sensing in the Collaborative Internet of Things |
| title_fullStr | Sensing in the Collaborative Internet of Things |
| title_full_unstemmed | Sensing in the Collaborative Internet of Things |
| title_short | Sensing in the Collaborative Internet of Things |
| title_sort | sensing in the collaborative internet of things |
| topic | Internet of Things sensor search and selection Sensing Reliability |
| url | http://www.mdpi.com/1424-8220/15/3/6607 |
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