Information-centric mobile networks: a survey, discussion, and future research directions
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Information-Centric_Mobile_Net ...
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Authors
Fayyaz, SanaUr Rehman, Muhammad Atif
Salah Ud Din, Muhammad
Biswas, Md Israfil
Bashir, Ali Kashif
Kim, Byung-Seo
Issue Date
2023-04-20Subjects
autonomous drivingproducer mobility
named data networking
mobility management
wireless networking
artificial intelligence
edge computing
vehicular fog computing
Subject Categories::G420 Networks and Communications
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Show full item recordAbstract
Information-centric networking (ICN) and its fruition, the named data networking (NDN) is a paradigm shift from host-centric address-based communication architecture to the content-centric name-based one. ICN intends to resolve various major issues faced by today's internet architecture such as privacy, security, consistent routing, and mobility, to name a few. With the massive increase of mobile data traffic in today's era, mobility is one of the major concerns in networking. On the one hand, ICN realization i.e., the NDN follows a pull-based communication model and natively supports the consumer (end-user) mobility in wired networks by maintaining the forwarding states on intermediate nodes. Nevertheless, the mobile consumer nodes confront issues in wireless networking environments such as excessive energy consumption as a result of request flooding, content retrieval delays due to intermittent connectivity, and bandwidth consumption due to the broadcasting nature of the wireless medium, among others. The pCitation
Fayyaz S, Ur Rehman MA, Salah Ud Din M, Biswas MI, Bashir AK, Kim BS (2023) 'Information-centric mobile networks: a survey, discussion, and future research directions', IEEE Access, 11 , pp.40328-40372.Journal
IEEE AccessAdditional Links
https://ieeexplore.ieee.org/document/10105953Type
ArticleLanguage
enISSN
2169-3536EISSN
2169-3536Sponsors
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korean Government (MSIT) under Grant 2022R1A2C1003549.ae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2023.3268775
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