A Periodic Caching Strategy Solution for the Smart City in Information-Centric Internet of Things

Muhammad Ali Naeem, Rashid Ali, Byung-Seo Kim, Shahrudin Awang Nor and Suhaidi Hassan
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Muhammad Ali Naeem: InterNetworks Research Laboratory School of Computing (SOC), University Utara Malaysia, 06010 UUM Sintok, Malaysia
Rashid Ali: Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea
Byung-Seo Kim: Department of Software and Communications Engineering, Hongik University, Sejong 30016, Korea
Shahrudin Awang Nor: InterNetworks Research Laboratory School of Computing (SOC), University Utara Malaysia, 06010 UUM Sintok, Malaysia
Suhaidi Hassan: InterNetworks Research Laboratory School of Computing (SOC), University Utara Malaysia, 06010 UUM Sintok, Malaysia

Sustainability, 2018, vol. 10, issue 7, 1-16

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.

Keywords: Internet of Things; named data networking; caching; most popular cache; 5G (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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