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FSF: Applying machine learning techniques to data forwarding in socially selfish Opportunistic Networks

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FSF: Applying machine learning techniques to data forwarding in socially selfish Opportunistic Networks

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Souza, C.; Mota, E.; Soares, D.; Manzoni, P.; Cano, J.; Tavares De Araujo Cesariny Calafate, CM.; Hernández-Orallo, E. (2019). FSF: Applying machine learning techniques to data forwarding in socially selfish Opportunistic Networks. Sensors. 19(10):1-26. https://doi.org/10.3390/s19102374

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/144079

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Title: FSF: Applying machine learning techniques to data forwarding in socially selfish Opportunistic Networks
Author: Souza, Camilo MOTA, EDJAIR Soares, Diogo Manzoni, Pietro Cano, Juan-Carlos Tavares De Araujo Cesariny Calafate, Carlos Miguel Hernández-Orallo, Enrique
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Opportunistic networks are becoming a solution to provide communication support in areas with overloaded cellular networks, and in scenarios where a fixed infrastructure is not available, as in remote and developing ...[+]
Subjects: Opportunistic networks , Machine learning , Friendship , Selfishness , Routing
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s19102374
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s19102374
Project ID:
UFAM/88881.133931/2016-01
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/
Thanks:
This work was partially supported by the "Camilo Batista de Souza/Programa Doutorado-sanduiche no Exterior (PDSE)/Processo 88881.133931/2016-01" and by the Ministerio de Ciencia, Innovacion y Universidades, Programa Estatal ...[+]
Type: Artículo

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