Information-Centric Wireless Sensor Networks-Based Multimedia Content Caching and Dissemination

Multimedia traffic generated by Wireless Sensor Networking (WSN) requires real-time dissemination to satisfy high-quality service requirements such as disaster prediction, but the current end-to-end Internet architecture cannot achieve this goal due to redundant transmissions of content. In this circumstance, a typical information-centric paradigm - the Named Data Networking (NDN) is introduced to WSN, called Information-Centric WSN (ICWSN), so that in-network caching and aggregation can be exploited to help shorten distances between users and content and eliminate transmissions of redundant content. In this paper we propose an ICWSN based content caching and dissemination framework, and aim to leverage learning automata to support in-network caching and aggregation, ultimately reducing content transmission energy consumption, delays and failures. The experimental results have shown the feasibility and advantages of the proposed framework.