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Caching Content on the Network Layer: A Performance Analysis of Caching Schemes in ICN-Based Internet of Things

Lookup NU author(s): Dr Rehmat UllahORCiD

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Abstract

© 2014 IEEE. Information-centric networking (ICN) is a promising paradigm shift that aims to tackle the traditional Internet architectural problems and to fulfill the future Internet requirements. The traditional Internet architecture is a host-oriented architecture (i.e., TCP/Internet protocol (IP) approach) due to which the Internet of Things (IoT) have been facing issues related to data dissemination across the distant locations. Therefore, a quick comprehension to enhance the communication for improving the content transmission services is of upmost importance. To deal with the challenges of traditional IP networks, the ICN paradigm was proposed which is different from traditional IP networking in terms of: 1) naming; 2) routing and forwarding; and 3) caching. One of the most common and important features of ICN architectures is in-network caching, which can significantly reduce content retrieval latency and improve data availability. Furthermore, in an ICN-based IoT environment, content caching at intermediate network nodes reduces the path stretch between end users and caches the content to meet future demands. This article compares and thoroughly investigates ICN-based caching strategies in terms of content retrieval latency, cache hit ratio, stretch, and link load, with a focus on IoT-based environments. Following a thorough simulation study, we discovered that ICN in-network caching is one of the most beneficial features for enhancing IoT-based networks.

Publication metadata

Author(s): Naeem MA, Ullah R, Meng Y, Ali R, Lodhi BA

Publication type: Article

Publication status: Published

Journal: IEEE Internet of Things Journal

Year: 2022

Volume: 9

Issue: 9

Pages: 6477-6495

Print publication date: 01/05/2022

Online publication date: 08/09/2021

Acceptance date: 04/09/2021

ISSN (electronic): 2327-4662

Publisher: IEEE

URL: https://doi.org/10.1109/JIOT.2021.3110977

DOI: 10.1109/JIOT.2021.3110977

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