TY  - EJOU
AU  - Mahaveerakannan, R. 
AU  - Tamilvizhi, Thanarajan 
AU  - Rayen, Sonia Jenifer 
AU  - Khalaf, Osamah Ibrahim 
AU  - Hamam, Habib 

TI  - Information Centric Networking Based Cooperative Caching Framework for 5G Communication Systems
T2  - Computers, Materials \& Continua

PY  - 2024
VL  - 80
IS  - 3
SN  - 1546-2226

AB  - 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.
KW  - Information-centric networking; caching schemes; 5G communication; non-negative matrix factorization (NMF); weighted clustering algorithm

DO  - 10.32604/cmc.2024.051611