5documents trouvés
Persuasive intelligent routing in content centric delay tolerant networks
A.D.NGUYEN, P.SENAC, V.RAMIRO, M.DIAZ
OLC, NIC Labs
Manifestation avec acte : International Conference on Pervasive Intelligence and Computing (PICom2011), Sydney (Australie), 12-14 Décembre 2011, 8p. , N° 11767
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126463How mobility increases mobile cloud computing processing capacity
A.D.NGUYEN, P.SENAC, V.RAMIRO, M.DIAZ
OLC, NIC Labs
Manifestation avec acte : IEEE Symposium on Network Cloud Computing and Applications (IEEE NCCA 2011), Toulouse (France), 21-23 Novembre 2011, 6p. , N° 11766
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126460Swarm-based intelligent routing (SIR) - A new approach for efficient routing in content centric delay tolerant networks
A.D.NGUYEN, P.SENAC, V.RAMIRO, M.DIAZ
OLC, NIC Labs
Manifestation avec acte : International Symposium on Mobility Management and Wireless Access (MOBIWAC 2011), Miami (USA), 31 Octobre - 4 Novembre 2011, 5p. , N° 11764
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126456STEPS. An approach for human mobility modeling
A.D.NGUYEN, P.SENAC, V.RAMIRO, M.DIAZ
OLC, NIC Labs
Manifestation avec acte : IFIP Networking 2011, Vanlence (Espagne), 9-13 Mai 2011, 12p. , N° 11765
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126458STIgmergy Routing (STIR) for content-centric delay-tolerant networks
A.D.NGUYEN, P.SENAC, M.DIAZ
OLC
Manifestation avec acte : Latin-American Workshop on Dynamic Networks (LAWDN), Buenos Aires (Argentine), 4 Novembre 2010, 4p. , N° 10675
Lien : http://hal.archives-ouvertes.fr/inria-00531763/fr/
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Abstract
This paper introduces a STIgmergy based Routing protocol (STIR) for Content Centric Delay Tolerant Networks. STIR makes the most of spatio-temporal interactions between nodes to set up bio-inspired gradient fields between content producers and content users. STIR routing follows this gradient field to efficiently route information in Delay Tolerant Networks. The validation of this protocol has been coupled with the definition of a new mobility parametric model that makes possible to easily express the preferential locations and movements commonly observed in real human mobility traces. Performance evaluations by simulations demonstrate that STIR delivers better performances than traditional protocols even in case of highly dynamic networks.