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 |