BRR-CVR: A Collaborative Caching Strategy for Information-Centric Wireless Sensor Networks

Wireless Sensor Networks (WSNs), the major technique in the sensing layer of Internet of Things. Because the WSN is extensively regarded as a data-centric network, more and more researchers start to exploit information-centric networking (ICN), a major branch of future network architecture, to design WSNs. In this paper, we propose a collaborative caching strategy for information-centric wireless sensor network (ICN-WSN). The proposed strategy consists of three parts: the node betweenness based cache size adjustment, the data replacement frequency based cache decision, and the content value based cache replacement algorithm. Based on our developed prototype of ICN-WSN, we compared our caching strategy with traditional strategies. Extensive experiments have been performed in terms of energy consumption, hit ratio, average delay and average hops. The results show that our strategy can improve the hit ratio of content caching, and in the meanwhile reduce the average delay, average hops, and energy consumption.