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A Statistical Learning Reputation System for Opportunistic Networks

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A Statistical Learning Reputation System for Opportunistic Networks

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Soares, D.; Mota, E.; Souza, C.; Manzoni, P.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM. (2014). A Statistical Learning Reputation System for Opportunistic Networks. IEEE. doi:10.1109/WD.2014.7020822

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Title: A Statistical Learning Reputation System for Opportunistic Networks
Author: Soares, Diogo Mota, Edjair Souza, Camilo Manzoni, Pietro Cano Escribá, Juan Carlos Tavares de Araujo Cesariny Calafate, Carlos Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
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Contacts are essential to guarantee the performance of opportunistic networks, but due to resource constraints, some nodes may not cooperate. In reputation systems, the perception of an agent depends on past observations ...[+]
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-4799-6606-6
(issn: 2156-9711 )
DOI: 10.1109/WD.2014.7020822
Publisher version: http://dx.doi.org/10.1109/WD.2014.7020822
Conference name: IFIP Wireless Days (WD 2014)
Conference place: Rio de Janeiro, Brazil
Conference date: November 12-14, 2014
Project ID:
CAPES/BEX 9208/13-5
Description: ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This research was supported by a CAPES postdoctoral research grant, process number BEX 9208/13-5.
Type: Comunicación en congreso



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