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A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges

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dc.contributor.author Makondo, Ntshuxeko
dc.contributor.author Kobo, Hlabishi I
dc.contributor.author Mathonsi, TE
dc.contributor.author Mamushiane, Lusani
dc.date.accessioned 2024-02-05T06:15:48Z
dc.date.available 2024-02-05T06:15:48Z
dc.date.issued 2023-11
dc.identifier.citation Makondo, N., Kobo, H.I., Mathonsi, T. & Mamushiane, L. 2023. A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges. http://hdl.handle.net/10204/13546 . en_ZA
dc.identifier.isbn 979-8-3503-2781-6
dc.identifier.uri DOI: 10.1109/ICECET58911.2023.10389349
dc.identifier.uri http://hdl.handle.net/10204/13546
dc.description.abstract Many sectors, including agriculture, have benefited significantly from the introduction of Fifth Generation wireless technology (5G). One of the most interesting benefits of 5G is how it may optimize the latency of the Internet of Things (IoT). The amount of data generated by IoT devices like sensors, cameras, and actuators in smart farming is growing at an exponential rate. The traditional way of processing and storing IoT data is done on cloud data centers, which are mostly located far from the data sources. Thus, the underlying network is unable to cope with the increasing traffic while also meeting the strict low-latency requirements of different IoT applications. The emergence of Edge Computing (EC) has the potentially to address this latency issue by deploying network functions such as User Plane Function (UPF) near the IoT sensors, this will allow data processing to be done close to the sensors and latency will be reduced. This paper primarily reviews the smart farming enabling technologies, and latency issue presented by the Cloud based 5G architecture. The challenges and opportunities of integrating the EC in the 5G-enabled IoT applications are reviewed. Finally, this paper reviews the real-time IoT monitoring applications and the latency reducing techniques. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri http://www.icecet.com/2023/ en_US
dc.relation.uri https://ieeexplore.ieee.org/document/10389349 en_US
dc.source 3rd International Conference on Electrical, Computer and Energy Technologies (ICECET 2023), Cape Town, South Africa, 16-17 November 2023 en_US
dc.subject 5G en_US
dc.subject Internet of Things en_US
dc.subject IoT en_US
dc.subject Cloud computing en_US
dc.subject Edge computing en_US
dc.subject Agriculture applications en_US
dc.subject Fog computing en_US
dc.subject User Plane Function en_US
dc.subject UPF en_US
dc.subject Smart farming en_US
dc.title A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges en_US
dc.type Conference Presentation en_US
dc.description.pages 6 en_US
dc.description.note ©2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10389349 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea Cloud & Network Architectures en_US
dc.identifier.apacitation Makondo, N., Kobo, H. I., Mathonsi, T., & Mamushiane, L. (2023). A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges. http://hdl.handle.net/10204/13546 en_ZA
dc.identifier.chicagocitation Makondo, Ntshuxeko, Hlabishi I Kobo, TE Mathonsi, and Lusani Mamushiane. "A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges." <i>3rd International Conference on Electrical, Computer and Energy Technologies (ICECET 2023), Cape Town, South Africa, 16-17 November 2023</i> (2023): http://hdl.handle.net/10204/13546 en_ZA
dc.identifier.vancouvercitation Makondo N, Kobo HI, Mathonsi T, Mamushiane L, A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges; 2023. http://hdl.handle.net/10204/13546 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Makondo, Ntshuxeko AU - Kobo, Hlabishi I AU - Mathonsi, TE AU - Mamushiane, Lusani AB - Many sectors, including agriculture, have benefited significantly from the introduction of Fifth Generation wireless technology (5G). One of the most interesting benefits of 5G is how it may optimize the latency of the Internet of Things (IoT). The amount of data generated by IoT devices like sensors, cameras, and actuators in smart farming is growing at an exponential rate. The traditional way of processing and storing IoT data is done on cloud data centers, which are mostly located far from the data sources. Thus, the underlying network is unable to cope with the increasing traffic while also meeting the strict low-latency requirements of different IoT applications. The emergence of Edge Computing (EC) has the potentially to address this latency issue by deploying network functions such as User Plane Function (UPF) near the IoT sensors, this will allow data processing to be done close to the sensors and latency will be reduced. This paper primarily reviews the smart farming enabling technologies, and latency issue presented by the Cloud based 5G architecture. The challenges and opportunities of integrating the EC in the 5G-enabled IoT applications are reviewed. Finally, this paper reviews the real-time IoT monitoring applications and the latency reducing techniques. DA - 2023-11 DB - ResearchSpace DP - CSIR J1 - 3rd International Conference on Electrical, Computer and Energy Technologies (ICECET 2023), Cape Town, South Africa, 16-17 November 2023 KW - 5G KW - Internet of Things KW - IoT KW - Cloud computing KW - Edge computing KW - Agriculture applications KW - Fog computing KW - User Plane Function KW - UPF KW - Smart farming LK - https://researchspace.csir.co.za PY - 2023 SM - 979-8-3503-2781-6 T1 - A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges TI - A review on edge computing in 5G-enabled IoT for agricultural applications: Opportunities and challenges UR - http://hdl.handle.net/10204/13546 ER - en_ZA
dc.identifier.worklist 27418 en_US


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