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IoT Connectivity Technologies and Applications: A Survey

Ding, Jie, Nemati, Mahyar, Ranaweera, Chathurika and Choi, Jinho 2020, IoT Connectivity Technologies and Applications: A Survey, IEEE Access, vol. 8, pp. 67646-67673, doi: 10.1109/ACCESS.2020.2985932.

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Title IoT Connectivity Technologies and Applications: A Survey
Author(s) Ding, JieORCID iD for Ding, Jie orcid.org/0000-0001-9927-5415
Nemati, Mahyar
Ranaweera, ChathurikaORCID iD for Ranaweera, Chathurika orcid.org/0000-0002-0996-1081
Choi, JinhoORCID iD for Choi, Jinho orcid.org/0000-0002-4895-6680
Journal name IEEE Access
Volume number 8
Start page 67646
End page 67673
Total pages 28
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Wireless communication
Bluetooth
Internet of Things
Wireless sensor networks
NOMA
5G mobile communication
OFDM
IoT connectivity technologies
5G
massive MTC
massive connectivity
compressive sensing
massive MIMO
machine learning
IoT applications
NONORTHOGONAL MULTIPLE-ACCESS
WIRELESS ACCESS
ENERGY-EFFICIENT
HEALTH-CARE
INTERNET
THINGS
COMMUNICATION
NETWORKS
Summary The Internet of Things (IoT) is rapidly becoming an integral part of our life and also multiple industries. We expect to see the number of IoT connected devices explosively grows and will reach hundreds of billions during the next few years. To support such a massive connectivity, various wireless technologies are investigated. In this survey, we provide a broad view of the existing wireless IoT connectivity technologies and discuss several new emerging technologies and solutions that can be effectively used to enable massive connectivity for IoT. In particular, we categorize the existing wireless IoT connectivity technologies based on coverage range and review diverse types of connectivity technologies with different specifications. We also point out key technical challenges of the existing connectivity technologies for enabling massive IoT connectivity. To address the challenges, we further review and discuss some examples of promising technologies such as compressive sensing (CS) random access, non-orthogonal multiple access (NOMA), and massive multiple input multiple output (mMIMO) based random access that could be employed in future standards for supporting IoT connectivity. Finally, a classification of IoT applications is considered in terms of various service requirements. For each group of classified applications, we outline its suitable IoT connectivity options.
Language eng
DOI 10.1109/ACCESS.2020.2985932
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30136955

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.