Recent advances in information-centric networking-based internet of things (ICN-IoT)

Arshad, Sobia and Azam, Muhammad Awais and Rehmani, Mubashir Husain and Loo, Jonathan (2019) Recent advances in information-centric networking-based internet of things (ICN-IoT). IEEE Internet of Things Journal, 6 (2). pp. 2128-2158. ISSN 2327-4662

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Information-centric networking (ICN) is being realized as a promising approach to accomplish the shortcomings of current Internet protocol-address-based networking. ICN models are based on naming the content to get rid of address-space scarcity, accessing the content via name-based-routing, and caching the content at intermediate nodes to provide reliable, efficient data delivery, and self-certifying contents to ensure better security. Obvious benefits of ICN in terms of fast and efficient data delivery and improved reliability raises ICN as highly promising networking model for Internet of Things (IoT) like environments. IoT aims to connect anyone and/or anything at any time by any path on any place. From last decade, IoT attracts both industry and research communities. IoT is an emerging research field and still in its infancy. Thus, this paper presents the potential of ICN for IoT by providing state-of-the-art literature survey. We discuss briefly the feasibility of ICN features and their models (and architectures) in the context of IoT. Subsequently, we present a comprehensive survey on ICN-based caching, naming, security, and mobility approaches for IoT with appropriate classification. Furthermore, we present operating systems and simulation tools for ICN-IoT. Finally, we provide important research challenges and issues faced by ICN for IoT.

Item Type: Article
Additional Information: Funding Information: Manuscript received September 11, 2018; accepted September 25, 2018. Date of publication October 1, 2018; date of current version May 8, 2019. This work was supported by the Computer Engineering Department, University of Engineering and Technology, Taxila, Taxila, Pakistan, through Full-Time Research Scholarship, and in close collaboration with both University of West London, UK and Waterford Institute of Technology, Ireland, under Grant UET/ASR&TD/RG-1003. (Corresponding author: Sobia Arshad.) S. Arshad and M. A. Azam are with the Department of Computer Engineering, University of Engineering and Technology at Taxila, Taxila 47050, Pakistan (e-mail:; Publisher Copyright: © 2014 IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1711
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Date Deposited: 19 Oct 2022 20:05
Last Modified: 11 Aug 2023 01:35

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