NDLI: Using Information Centric Networking in Internet of Things: A Survey

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Using Information Centric Networking in Internet of Things: A Survey

Content Provider	Hyper Articles en Ligne (HAL)
Author	Mars, Dorra Mettali Gammar, Sonia Lahmadi, Abdelkader Azouz Saidane, Leila
Copyright Year	2019
Abstract	Internet of Things (IoT) is increasingly deployed in different domains and environments including smart homes, smart cities, healthcare, industry 4.0, and smart agriculture, by connecting a large number of physical objects to deliver a new class of applications. The rising number of these connected objects and their heterogeneity have raised new research directions and challenges regarding their communications, scalability and the large amount of data that generate. As a result, new communication technologies have been proposed to be applied in these environments and applications, mainly to consider their main inherent properties which are the information that generate and handle, and the content that disseminate. Among the adopted techniques and recently integrated into the IoT is the ICN (Information Centric Networking) paradigm. The choice of integration of ICN in the context of IoT is mainly motivated by all the advantages it represents, in particular content caching and decoupling senders and receivers. In this paper, we provide a detailed analysis of the motivations behind using ICN in IoT environments and a survey of existing research work that have already applied ICN as a communication support for IoT applications.
Related Links	https://inria.hal.science/hal-02393632/file/Using_Information_Centric_Networking_in_Internet_of_Things__A_survey__2_.pdf
ISSN	09296212
e-ISSN	1572834X
DOI	10.1007/s11277-018-6104-8
Journal	Wireless Personal Communications
Issue Number	1
Volume Number	105
Language	English
Publisher	HAL CCSD Springer Verlag
Publisher Date	2019-03-01
Access Restriction	Open
Subject Keyword	Internet of Things (IoT Information Centric Networking (ICN Applications Networking and Internet Architecture [cs.NI] Computer Science [cs]
Content Type	Text
Resource Type	Article
Subject	Medicine Electrical and Electronic Engineering Computer Science Applications

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