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A review of Intelligent IoT devices at the edge

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dc.contributor.author Afachao, K
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2023-07-12T12:01:05Z
dc.date.available 2023-07-12T12:01:05Z
dc.date.issued 2022
dc.identifier.citation Afachao, K. & Abu-Mahfouz, A.M. 2022. A review of Intelligent IoT devices at the edge. http://hdl.handle.net/10204/12883 . en_ZA
dc.identifier.isbn 979-8-3503-9676-8
dc.identifier.uri DOI: 10.1109/ICAIoT57170.2022.10121824
dc.identifier.uri http://hdl.handle.net/10204/12883
dc.description.abstract The Internet of Things is fast expanding with paradigms to describe its new frontiers. A more closely tied term to the Internet of Things is Edge Computing, which describes empowering devices at the edge with intelligence. One characteristic of these edge devices is the improved latency provided against Cloud computing. The network edge is an under-utilized area and by merging intelligence with edge computing devices, we can effectively exploit it with novel approaches. This paper seeks to bring to light several “Internet of Things” devices at the edge and their capability in bringing intelligence to the network edge. A novel approach is introduced by comparing devices concerning the processing capability, memory capacity and applications. It is then clear, that there are many devices today on par with smartphones equally capable of deploying intelligence at the edge. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/10121824 en_US
dc.source IEEE Second International Conference on Artificial Intelligence of Things (ICAIoT 2022), Istanbul, Turkey, 29-30 December 2022 en_US
dc.subject Artificial intelligence en_US
dc.subject Deep learning en_US
dc.subject Edge devices en_US
dc.subject Internet of Things en_US
dc.subject Processing unit en_US
dc.title A review of Intelligent IoT devices at the edge en_US
dc.type Conference Presentation en_US
dc.description.pages 6 en_US
dc.description.note ©2022 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/10121824 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea EDT4IR Management en_US
dc.identifier.apacitation Afachao, K., & Abu-Mahfouz, A. M. (2022). A review of Intelligent IoT devices at the edge. http://hdl.handle.net/10204/12883 en_ZA
dc.identifier.chicagocitation Afachao, K, and Adnan MI Abu-Mahfouz. "A review of Intelligent IoT devices at the edge." <i>IEEE Second International Conference on Artificial Intelligence of Things (ICAIoT 2022), Istanbul, Turkey, 29-30 December 2022</i> (2022): http://hdl.handle.net/10204/12883 en_ZA
dc.identifier.vancouvercitation Afachao K, Abu-Mahfouz AM, A review of Intelligent IoT devices at the edge; 2022. http://hdl.handle.net/10204/12883 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Afachao, K AU - Abu-Mahfouz, Adnan MI AB - The Internet of Things is fast expanding with paradigms to describe its new frontiers. A more closely tied term to the Internet of Things is Edge Computing, which describes empowering devices at the edge with intelligence. One characteristic of these edge devices is the improved latency provided against Cloud computing. The network edge is an under-utilized area and by merging intelligence with edge computing devices, we can effectively exploit it with novel approaches. This paper seeks to bring to light several “Internet of Things” devices at the edge and their capability in bringing intelligence to the network edge. A novel approach is introduced by comparing devices concerning the processing capability, memory capacity and applications. It is then clear, that there are many devices today on par with smartphones equally capable of deploying intelligence at the edge. DA - 2022 DB - ResearchSpace DP - CSIR J1 - IEEE Second International Conference on Artificial Intelligence of Things (ICAIoT 2022), Istanbul, Turkey, 29-30 December 2022 KW - Artificial intelligence KW - Deep learning KW - Edge devices KW - Internet of Things KW - Processing unit LK - https://researchspace.csir.co.za PY - 2022 SM - 979-8-3503-9676-8 T1 - A review of Intelligent IoT devices at the edge TI - A review of Intelligent IoT devices at the edge UR - http://hdl.handle.net/10204/12883 ER - en_ZA
dc.identifier.worklist 26676 en_US


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