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  5. Survey on Network Slicing for Internet of Things Realization in 5G Networks
 
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Survey on Network Slicing for Internet of Things Realization in 5G Networks

Author(s)
Wijethilaka, Shalitha  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/12083
Date Issued
2021-03-22
Date Available
2021-04-12T16:27:07Z
Abstract
Internet of Things (IoT) is an emerging technology that makes people’s lives smart by conquering a plethora of diverse application and service areas. In near future, the fifth-generation (5G) wireless networks provide the connectivity for this IoT ecosystem. It has been carefully designed to facilitate the exponential growth in the IoT field. Network slicing is one of the key technologies in the 5G architecture that has the ability to divide the physical network into multiple logical networks (i.e. slices) with different network characteristics. Therefore, network slicing is also a key enabler of realisation of IoT in 5G. Network slicing can satisfy the various networking demands by heterogeneous IoT applications via dedicated slices. In this survey, we present a comprehensive analysis of the exploitation of network slicing in IoT realisation. We discuss network slicing utilisation in different IoT application scenarios, along with the technical challenges that can be solved via network slicing. Furthermore, integration challenges and open research problems related to the network slicing in the IoT realisation are also discussed in this paper. Finally, we discuss the role of other emerging technologies and concepts, such as blockchain and Artificial Intelligence/Machine Learning(AI/ML) in network slicing and IoT integration.
Sponsorship
University College Dublin
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Communications Surveys & Tutorials
Volume
23
Issue
2
Start Page
957
End Page
994
Copyright (Published Version)
2021 IEEE
Subjects

Network slicing

Internet of Things

5G mobile communicati...

Resource management

Computer architecture...

Wireless sensor netwo...

Software

DOI
10.1109/comst.2021.3067807
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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IEEE_COMST_Slicing___IoT_survey__Final_Submission__ (1).pdf

Size

5.53 MB

Format

Adobe PDF

Checksum (MD5)

fce08f534b2160f58dd805a344d58c40

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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