Content-Centric Networking (CCN) is being established as an emerging Internet architecture that brings efficient data retrieval technology to access the contents with their names. In CCN, the in-network caching capability plays a critical role in the improvement of network performance by reducing the load of content server and increasing the content availability. Thus, the efficiency of the content caching strategy crucially affects the performance of the entire network. Towards this, a novel content caching scheme has been proposed in this article that efficiently utilizes the available caching capacity and improves Quality-of-Service (QoS) during content delivery. To perform optimized caching operations, the proposed scheme considers a dynamic threshold value and takes caching decisions based on two parameters, first is a novel dynamic size popularity window to determine content popularity, and secondly, the distance navigated by the Content message from the preceding on-path router that cached the content copy. For content caching decisions, the dynamic threshold value decreases with an increase in Content message distance from the preceding on-path router (that cached the content) and the content popularity. Using these heuristics, the scheme places the popular contents near the edges of the network. Through extensive simulations, the QoS delivered by the proposed scheme has been examined for different cache sizes on standard Abilene network topology. The results show that the proposed scheme outperforms the existing caching strategies for various performance parameters such as hit-ratio, average network delay, hop count, and average traffic generated in the network. This makes the proposed solution suitable for futuristic Internet architectures with 5G/6G and Industry 4.0 revolutions and their applications where faster content deliveries are required.

以内容为中心的网络（CCN）正在建立，它是一种新兴的Internet体系结构，它带来了有效的数据检索技术来访问带有其名称的内容。在CCN中，通过减少内容服务器的负载并提高内容可用性，网络内缓存功能在网络性能的提高中起着至关重要的作用。因此，内容缓存策略的效率会严重影响整个网络的性能。为此，本文提出了一种新颖的内容缓存方案，该方案可有效利用可用的缓存容量并在内容交付过程中提高服务质量（QoS）。为了执行优化的缓存操作，提出的方案考虑了动态阈值，并基于两个参数做出了缓存决策，首先是一个新颖的动态大小流行度窗口，用于确定内容的流行度，其次是Content消息与先前缓存内容副本的路径上路由器之间的距离。对于内容缓存决策，动态阈值会随着与前一个路径上路由器（缓存内容）之间的内容消息距离的增加和内容受欢迎程度而降低。使用这些启发式方法，该方案将受欢迎的内容放置在网络边缘附近。通过广泛的仿真，已经针对标准Abilene网络拓扑上不同的缓存大小检查了所提出的方案提供的QoS。结果表明，对于各种性能参数（例如命中率，平均网络延迟，跳数，和网络中产生的平均流量。这使建议的解决方案适用于具有5G / 6G和工业4.0革命的未来互联网体系结构及其需要更快内容交付的应用。