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Abstract Information-centric wireless computing (ICWC) improves 5G communication by enabling effective content distribution, decreasing network load, supporting flexible resource allocation, improving scalability, simplifying IoT and edge computing, and allowing content-aware services. "Information-Centric Networking" (ICN) involves creating and using a specific model to study the way it fits into 5G communication systems. 5G technology will enable real-time communications and seamless information management across all connected devices. Information-centric networking has emerged as a powerful facilitator for delivering scalable and realistic real-time applications regarding internet architecture, mobile infrastructures, and other communication devices. The widespread use of 5G applications requires a content delivery infrastructure with low latency, dependability, portability, and scalability. Traditional systems where consideration was given only to mobile device transmission, rather than fixed nodes, is inadequate because of the host-oriented approach and cannot cover all these objectives. For communication to be based purely on information resource IDs rather than the place or location of the resource, a new Internet paradigm known as "Information-Centric Networking" (ICN) is utilized. The issues above can be remedied by applying ICN principles. Because latency is the backbone of 5G networks, the goal is to permit minimal services such as network design, waiting time, automated systems, and speedier dissemination. To analyze data distribution in a network, we present an analytical technique that utilizes a Dynamic (ICN-AD) population, considering a wide range of variables, such as user density, communication speed, and the number of fixed nodes, to implement ICN for 5G communications. The suggested model allows us to calculate the diffusion time, transmission distance, and waiting time in closed form. Experiments have shown how high-speed and narrowband wireless communication technologies affect data transmission in 5G networks. Results show a notable transmission rate of around 91%, even with many users. Chance contacts between wireless nodes spread most data with minimum latency value (45ms).
Alsayaydeh et al. (Sun,) studied this question.