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dc.contributor.authorCueva-Fernandez, Guillermo
dc.contributor.authorPascual-Espada, Jordán
dc.contributor.authorGarcía-Díaz, Vicente
dc.contributor.authorGonzález-Crespo, Rubén
dc.date2015-10
dc.date.accessioned2017-04-12T15:51:18Z
dc.date.available2017-04-12T15:51:18Z
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S1568494615000873
dc.description.abstractInternet of Things is based on the identification of real-world objects in a unique way that interconnects them by means of communication interfaces. Such a simple idea allows the emergence of a huge number of new applications in almost any domain of knowledge. One of the most prominent areas of application is road vehicles, which currently have, on average, more than 50 sensors inside and which information can be accessed through a standard protocol. With this, vehicles have become real smart objects that can interact with other objects or any software system. To allow that, our previous work focused on proposing and developing the Vitruvius platform, where users with no programming knowledge can design and quickly generate Web applications based on the real-time data consumption from interconnected vehicles. The problem is that the sending of such information is out of control, being unable to filter out when the best time to send the information is and what information should be sent at any moment in order to minimize the resource consumption of the mobile device that acts as a bride between the vehicle and the database in which all the information is stored. Thus, in this work we propose a fuzzy algorithm that allows to optimize the resources that are used by real-time applications that constantly send data while maintaining data quality, contextualized in vehicle sensor tracking systems and the applications that can be built above them.es_ES
dc.language.isoenges_ES
dc.publisherApplied Soft Computinges_ES
dc.relation.ispartofseries;vol. 35
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S1568494615000873
dc.rightsrestrictedAccesses_ES
dc.subjectvehicle sensores_ES
dc.subjectfuzzy logices_ES
dc.subjectfuzzy decision makinges_ES
dc.subjecttrackinges_ES
dc.subjectresource managementes_ES
dc.subjectbandwidthes_ES
dc.subjectJCRes_ES
dc.subjectScopuses_ES
dc.titleFuzzy decision method to improve the information exchange in a vehicle sensor tracking systemes_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1016/j.asoc.2015.01.066


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