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Enhanced smart edge broker using fog computing for smart homes

Authors
Ahn, JungukLee, Byung Mun
Issue Date
May-2019
Publisher
Centre for Environment and Socio-Economic Research Publications
Keywords
Fog Computing; IoT; Smart City; Smart Home
Citation
International Journal of Artificial Intelligence, v.7, no.1, pp.1 - 6
Journal Title
International Journal of Artificial Intelligence
Volume
7
Number
1
Start Page
1
End Page
6
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82465
DOI
10.21742/IJAIASD.2019.7.1.01
ISSN
0974-0635
Abstract
Smart homes with IoT technologies provide convenience in our daily lives. If it is linked to smart city infrastructure through the expansion of service range, it can provide higher quality services. However, if the service range becomes wider, it may increase latency, which may in turn cause an overload. These problems are attributable to the increasing number of sensors that need to be monitored and the expansion of the service area. These problems can be solved by intelligently distributing the data measured in each area. Therefore, in this paper, we propose a Smart Edge Broker to intelligently transmit data traffic generated by a smart city in a wide area to prevent the traffic from being transmitted or bypassed to an area where traffic is not necessary. It is also suitable to operate it as a fog computing model by placing it at the edge of a smart city network. © 2019 GV Press.
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Lee, Byung Mun
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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