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dc.contributor.author | Hernández Orallo, Enrique | es_ES |
dc.contributor.author | Serrat Olmos, Manuel David | es_ES |
dc.contributor.author | Cano Escribá, Juan Carlos | es_ES |
dc.contributor.author | Tavares de Araujo Cesariny Calafate, Carlos Miguel | es_ES |
dc.contributor.author | Manzoni, Pietro | es_ES |
dc.date.accessioned | 2014-12-11T10:49:00Z | |
dc.date.available | 2014-12-11T10:49:00Z | |
dc.date.issued | 2014-02 | |
dc.identifier.issn | 0929-6212 | |
dc.identifier.uri | http://hdl.handle.net/10251/45351 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/s11277-013-1346-y | es_ES |
dc.description.abstract | Mobilead-hocnetworks(MANETs)relyonnetworkcooperationschemestowork properly. Nevertheless, if nodes have a selfish behaviour and are unwilling to cooperate, the overall network performance could be seriously affected. The use of watchdogs is a well- known mechanism to detect selfish nodes. In this paper we propose a collaborative watchdog approach, which is based on the fast diffusion of selfish nodes awareness. Then, we introduce an analytical model to evaluate the time of detection and the overhead (number of messages) of our collaborative watchdog approach for detecting one selfish node. This model is extended for the case of several selfish nodes, including a mean¿max approximation for a feasible computation when the number of selfish nodes is high. The results show that a collaborative watchdog is a very efficient approach since the detection time of selfish nodes is reduced, and the overall overhead is very low. | es_ES |
dc.description.sponsorship | This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain (Grant TIN2011-27543-C03-01). | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Springer Verlag (Germany) | es_ES |
dc.relation.ispartof | Wireless Personal Communications | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Wireless networks | es_ES |
dc.subject | MANETs | es_ES |
dc.subject | Performance evaluation | es_ES |
dc.subject | Selfish nodes | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | A Fast Model for Evaluating the Detection of Selfish Nodes Using a Collaborative Approach in MANETs | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s11277-013-1346-y | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2011-27543-C03-01/ES/WALKIE-TALKIE: SOPORTE A ENTORNOS DE TRANSPORTE SEGURO, INTELIGENTE Y SOSTENIBLE PARA LA FUTURA GENERACION DE COCHES INTELIGENTES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.description.bibliographicCitation | Hernández Orallo, E.; Serrat Olmos, MD.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2014). A Fast Model for Evaluating the Detection of Selfish Nodes Using a Collaborative Approach in MANETs. Wireless Personal Communications. 74(3):1099-1116. https://doi.org/10.1007/s11277-013-1346-y | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://link.springer.com/article/10.1007/s11277-013-1346-y | es_ES |
dc.description.upvformatpinicio | 1099 | es_ES |
dc.description.upvformatpfin | 1116 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 74 | es_ES |
dc.description.issue | 3 | es_ES |
dc.relation.senia | 253218 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
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