Abstract
Named Data Networking is an evolving network model of the Information-centric networking (ICN) paradigm which provides Named-based data contents. In-network caching is the responsible for dissemination of these contents in a scalable and cost-efficient way. Due to the rapid expansion of Internet of Things (IoT) traffic, ICN is envisioned to be an appropriate architecture to maintain the IoT networks. In fact, ICN offers unique naming, multicast communications and, most beneficially, in-network caching that minimizes the response latency and server load. IoT environment involves a study of ICN caching policies in terms of content placement strategies. This paper addressed the caching strategies with the aim to recognize which caching strategy is the most suitable for IoT networks. Simulation results show the impact of different IoT ICN-based caching strategies, out of these; periodic caching is the most appropriate strategy for IoT environments in terms of stretch that results in decreasing the retrieval latency and improves the cache-hit ratio.
Highlights
Internet of Things (IoT) is a discreet revolution that is aiming to change the future of the present world
We focused on the advantage of IoT Named Data Networking (NDN)-based caching strategies for the applications of smart city
NDN is an emerging network paradigm based on name-identified data objects and in-network caching
Summary
Internet of Things (IoT) is a discreet revolution that is aiming to change the future of the present world. The connected world is becoming a reality [1]. On the other hand, Named Data Networking (NDN) is an innovative paradigm that provides the location independent data communications in which client’s requests are satisfied regardless of the content’s location. This concept provides unique and location-independent content, in-network caching and name-based routing. These features give NDN the potential to become a key technology for data dissemination in IoT. The NDN concept has abilities to mitigate the significant communication overhead caused by the distribution of commonly accessed contents
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