Please use this identifier to cite or link to this item:
http://ri.uaemex.mx/handle20.500.11799/113001| Title: | Proactive Cross-Layer Framework Based on Classification Techniques for Handover Decision on WLAN Environments | Keywords: | cross-layer;handover;;handoff decision;naive bayes;logistic regression;decision tree;k-nearest neighbors;support-vector machines;info:eu-repo/classification/cti/7 | Publisher: | MDPI | Project: | 11 | Description: | Articulo científico que describe los resultados de la tesis doctoral PROTOCOLO CROSS-LAYER PROACTIVO BASADO EN TÉCNICAS DE INTELIGENCIA ARTIFICIAL PARA HANDOVER SIN FISURAS EN AMBIENTES MÓVILES WLAN. In recent years, modern technology has been increasing, and this has grown a derivate in big challenges related to the network and application infrastructures. New devices have been providing more high functionalities to users than ever before; however, these devices depend on a high functionality of network in order to ensure a correct functioning ability over applications. This is essential for mobile networking systems to evolve in order to meet the future requirements of capacity, coverage, and data rate. In addition, when a network problem happens, it could be converted into somethingmore disastrous and difficult to solve. A crucial point is the network physical change and the difficulties, such as loss continuity of services and the decision to select the future network to be connected. In this article, a new framework is proposed to forecast a future network to be connected through a mobile node in WLAN environments. The proposed framework considers a decision-making process based on five classifiers and the user’s position and acceleration data in order to anticipate the network change, reaching up to 96.75% accuracy in predicting the connection of this future network. In this way, an early change of network is obtained without packet and time loss during the network change. CONACYT |
URI: | http://ri.uaemex.mx/handle20.500.11799/113001 | Other Identifiers: | http://hdl.handle.net/20.500.11799/113001 | Rights: | info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0 |
| Appears in Collections: | Producción |
Show full item record
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.