an open source platform for deploying data fusion applications in IoT environments

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Show simple item record Luis Bustamante, Álvaro Patricio Guisado, Miguel Ángel Molina López, José Manuel 2021-08-04T10:33:59Z 2021-08-04T10:33:59Z 2019-03-01
dc.identifier.bibliographicCitation Luis Bustamante, A.; Patricio, M.A.; Molina, J.M. An Open Source Platform for Deploying Data Fusion Applications in IoT Environments. Sensors 2019, 19, 1044.
dc.identifier.issn 1424-8220
dc.description.abstract In The Last Two Decades, Data And Information Fusion Has Experienced Significantdevelopment Due Mainly To Advances In Sensor Technology. The Sensors Provide A Continuousflow Of Data About The Environment In Which They Are Deployed, Which Is Received And Processed Tobuild A Dynamic Estimation Of The Situation. With Current Technology, It Is Relatively Simple To Deploya Set Of Sensors In A Specific Geographic Area, In Order To Have Highly Sensorized Spaces. However, Tobe Able To Fusion And Process The Information Coming From The Data Sources Of A Highly Sensorizedspace, It Is Necessary To Solve Certain Problems Inherent To This Type Of Technology. The Challengeis Analogous To What We Can Find In The Field Of The Internet Of Things (Iot). Iot Technology Ischaracterized By Providing The Infrastructure Capacity To Capture, Store, And Process A Huge Amountof Heterogeneous Sensor Data (In Most Cases, From Different Manufacturers), In The Same Way That Itoccurs In Data Fusion Applications. This Work Is Not Simple, Mainly Due To The Fact That There Is Nostandardization Of The Technologies Involved (Especially Within The Communication Protocols Usedby The Connectable Sensors). The Solutions That We Can Find Today Are Proprietary Solutions Thatimply An Important Dependence And A High Cost. The Aim Of This Paper Is To Present A New Opensource Platform With Capabilities For The Collection, Management And Analysis Of A Huge Amount Ofheterogeneous Sensor Data. In Addition, This Platform Allows The Use Of Hardware-Agnostic In A Highlyscalable And Cost-Effective Manner. This Platform Is Called Thinger.Io. One Of The Main Characteristicsof Thinger.Io Is The Ability To Model Sensorized Environments Through A High Level Language Thatallows A Simple And Easy Implementation Of Data Fusion Applications, As We Will Show In This Paper.
dc.description.sponsorship This work was funded by public research projects of Spanish Ministry of Economy and Competitivity (MINECO), references TEC2017-88048-C2-2-R, TEC2014-57022-C2-2-RRTC-2016-5595-2, RTC-2016-5191-8 and RTC-2016-5059-8.
dc.language.iso eng
dc.publisher MDPI
dc.rights Copyright The Authors
dc.rights Atribución 3.0 España
dc.subject.other iot middleware
dc.subject.other scalability
dc.subject.other data fusion applications
dc.title an open source platform for deploying data fusion applications in IoT environments
dc.type article
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. RTC-2016-5191-8
dc.relation.projectID Gobierno de España. RTC-2016-5595-2
dc.relation.projectID Gobierno de España. RTC-2016-5059-8
dc.relation.projectID Gobierno de España. TEC2017-88048-C2-2-R
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 5
dc.identifier.publicationlastpage 23
dc.identifier.publicationtitle SENSORS
dc.identifier.publicationvolume 19
dc.identifier.uxxi AR/0000024219
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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