On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2015

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

Mohamed Hail
  • Fonction : Auteur
  • PersonId : 1029337
Stefan Fischer
  • Fonction : Auteur
  • PersonId : 1012346

Résumé

Information-Centric Networking (ICN) is a communication paradigm for the future Internet that matches the pattern of information-oriented applications and provides in-network caching. Thanks to such properties, ICN has been recently considered as a solution for the IoT. However, IoT shows challenging features: many devices are resource-constrained and applications usually originate transient information. As a consequence, ICN-IoT solutions requires new design choices. Among them, it is crucial understanding if constrained devices can successfully implement ICN caching and forwarding functionalities, and what are the delivery performance.To provide hints in such a context, in this paper we evaluate the performance of different caching/replacement policies and forwarding strategies in an ICN-IoT wireless network. A novel forwarding scheme is also defined to reduce the load on constrained devices. Simulation results show that the devised caching and forwarding operations are beneficial for delivery performance: they reduce the traffic volume and save the devices’ energy resources.
Fichier principal
Vignette du fichier
346846_1_En_23_Chapter.pdf (172.85 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01728806 , version 1 (12-03-2018)

Licence

Identifiants

Citer

Mohamed Hail, Marica Amadeo, Antonella Molinaro, Stefan Fischer. On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT. 13th International Conference on Wired/Wireless Internet Communication (WWIC), May 2015, Malaga, Spain. pp.313-326, ⟨10.1007/978-3-319-22572-2_23⟩. ⟨hal-01728806⟩
217 Consultations
471 Téléchargements

Altmetric

Partager

More