Dynamic cluster-based cooperative cache management at the network edges in NDN-based Internet of Things

Abstract

The Named Data Networking (NDN) has been postulated as a new paradigm for the Internet of Things (IoT). It utilizes its data-centric networking model where content is acquired by name instead of position. Meanwhile, in NDN networks, caching is included in the nodes for temporary storing or user request responses. However, nodes in IoT networks have small cache storage compared to the huge amount of content transmitted, which poses challenges in efficiency. This work introduces a new caching policy for NDN-IoT systems called Dynamic Clustering-based Cooperative Caching (DCCC). DCCC determines and stores the content hitting rates concerning the user desires, dynamic threshold, and dissemination of cooperation with inter-node adaptive clusters. In detail, the results from growing numbers of simulations show that DCCC achieves better outcomes than prior caching schemes in average cache hits per node, hops reduction per node, and the delay of content delivery.