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AuthorKhelifi, Hakima
AuthorLuo, Senlin
AuthorNour, Boubakr
AuthorSellami, Akrem
AuthorMoungla, Hassine
AuthorAhmed, Syed Hassan
AuthorGuizani, Mohsen
Available date2022-11-10T09:47:22Z
Publication Date2019
Publication NameIEEE Communications Letters
ResourceScopus
Resource2-s2.0-85055018213
URIhttp://dx.doi.org/10.1109/LCOMM.2018.2875978
URIhttp://hdl.handle.net/10576/36125
AbstractVarious Internet solutions take their power processing and analysis from cloud computing services. Internet of Things (IoT) applications started discovering the benefits of computing, processing, and analysis on the device itself aiming to reduce latency for time-critical applications. However, on-device processing is not suitable for resource-constraints IoT devices. Edge computing (EC) came as an alternative solution that tends to move services and computation more closer to consumers, at the edge. In this letter, we study and discuss the applicability of merging deep learning (DL) models, i.e., convolutional neural network (CNN), recurrent neural network (RNN), and reinforcement learning (RL), with IoT and information-centric networking which is a promising future Internet architecture, combined all together with the EC concept. Therefore, a CNN model can be used in the IoT area to exploit reliably data from a complex environment. Moreover, RL and RNN have been recently integrated into IoT, which can be used to take the multi-modality of data in real-time applications into account. 2019 IEEE.
SponsorManuscript received August 20, 2018; revised September 29, 2018; accepted October 29, 2018. Date of publication October 15, 2018; date of current version January 8, 2019. The work of S. Luo was supported by the National 242 Project under Grant No. 2017A149. The associate editor coordinating the review of this paper and approving it for publication was O. Popescu. (Corresponding author: Senlin Luo.) H. Khelifi, S. Luo, and B. Nour are with the Beijing Institute of Technology, Beijing 100081, China (e-mail: hakima@bit.edu.cn; luosenlin@bit.edu.cn; n.boubakr@bit.edu.cn).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectdeep learning (DL)
edge computing (EC)
Information-centric networking (ICN)
Internet of Things (IoT)
TitleBringing Deep Learning at the Edge of Information-Centric Internet of Things
TypeArticle
Pagination52-55
Issue Number1
Volume Number23
dc.accessType Abstract Only


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