PBRS: A Content Popularity and Betweenness Based Cache Replacement Scheme in ICN-IoT

Abstract

Since the Information-Centric Networking (ICN) cache can effectively reduce the requests from customers to producers and improve the efficiency of content acquisition, researchers have attempted to improve the network performance of the Internet of Things (IoT) by using the concept of ICN. In the context of ICN-IoT, an appropriate cache placement mechanism can effectively help reduce data retrieval delays, and an appropriate cache replacement mechanism is also important to maintain the cache performance. ICN generally uses the least recently used (LRU) and the least frequently used (LFU) cache replacement strategies, which may cause large storage redundancy. To improve the cache hit ratio of the network under the context of the ICN-IoT, in this paper, we propose a novel intra-network cache replacement method that integrates evaluating the popularity of the cache contents and the betweenness of the nodes. This mechanism promotes the performance of the cache replacement by weighing the importance of each node and the cache content popularity within the domain. The simulation results show that the proposed cache replacement method can achieve a higher cache hit rate than traditional cache replacement strategies.