Named Data Networking: A Promising Architecture for the Internet of Things (IoT)

Maroua Meddeb, Amine Dhraief, Abdelfettah Belghith, Thierry Monteil, Khalil Drira and Saad Al-Ahmadi
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Maroua Meddeb: LAAS-CNRS, University of Toulouse, Toulouse, France
Amine Dhraief: HANA Research Laboratory, University of Manouba, Manouba, Tunisia
Abdelfettah Belghith: College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Thierry Monteil: LAAS-CNRS, University of Toulouse, Toulouse, France
Khalil Drira: LAAS-CNRS, University of Toulouse, Toulouse, France
Saad Al-Ahmadi: College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

International Journal on Semantic Web and Information Systems (IJSWIS), 2018, vol. 14, issue 2, 86-112

Abstract: This article describes how the named data networking (NDN) has recently received a lot of attention as a potential information-centric networking (ICN) architecture for the future Internet. The NDN paradigm has a great potential to efficiently address and solve the current seminal IP-based IoT architecture issues and requirements. NDN can be used with different sets of caching algorithms and caching replacement policies. The authors investigate the most suitable combination of these two features to be implemented in an IoT environment. For this purpose, the authors first reviewed the current research and development progress in ICN, then they conduct a qualitative comparative study of the relevant ICN proposals and discuss the suitability of the NDN as a promising architecture for IoT. Finally, they evaluate the performance of NDN in an IoT environment with different caching algorithms and replacement policies. The obtained results show that the consumer-cache caching algorithm used with the Random Replacement (RR) policy significantly improve NDN content validity in an IoT environment.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:14:y:2018:i:2:p:86-112

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