Open Access

ARTICLE

Information Centric Networking Based Cooperative Caching Framework for 5G Communication Systems

by R. Mahaveerakannan¹, Thanarajan Tamilvizhi^2,*, Sonia Jenifer Rayen³, Osamah Ibrahim Khalaf⁴, Habib Hamam^5,6,7,8

1 Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India
2 Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, 600123, India
3 Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, India
4 Department of Solar Energy, Al-Nahrain Research Center for Renewable Energy, Al-Nahrain University, Jadriya, Baghdad, 64074, Iraq
5 Faculty of Engineering, Université de Moncton, New Brunswick, E1A3E9, Canada
6 Hodmas University College, Mogadishu, 521376, Somalia
7 Bridges for Academic Excellence, Tunis, 1002, Tunisia
8 School of Electrical Engineering, University of Johannesburg, Auckland Park, Johannesburg, 2006, South Africa

* Corresponding Author: Thanarajan Tamilvizhi. Email:

Computers, Materials & Continua 2024, 80(3), 3945-3966. https://doi.org/10.32604/cmc.2024.051611

Received 10 March 2024; Accepted 12 June 2024; Issue published 12 September 2024

Abstract

The demands on conventional communication networks are increasing rapidly because of the exponential expansion of connected multimedia content. In light of the data-centric aspect of contemporary communication, the information-centric network (ICN) paradigm offers hope for a solution by emphasizing content retrieval by name instead of location. If 5G networks are to meet the expected data demand surge from expanded connectivity and Internet of Things (IoT) devices, then effective caching solutions will be required to maximize network throughput and minimize the use of resources. Hence, an ICN-based Cooperative Caching (ICN-CoC) technique has been used to select a cache by considering cache position, content attractiveness, and rate prediction. The findings show that utilizing our suggested approach improves caching regarding the Cache Hit Ratio (CHR) of 84.3%, Average Hop Minimization Ratio (AHMR) of 89.5%, and Mean Access Latency (MAL) of 0.4 s. Within a framework, it suggests improved caching strategies to handle the difficulty of effectively controlling data consumption in 5G networks. These improvements aim to make the network run more smoothly by enhancing content delivery, decreasing latency, and relieving congestion. By improving 5G communication systems’ capacity to manage the demands faced by modern data-centric applications, the research ultimately aids in advancement.

---

Keywords

---