Enhanced Smart Edge Broker using Fog Computing for Smart Homes

AUTHORS

Junguk Ahn,Gachon University, Dept. of IT Convergence
Byung Mun Lee,Gachon University, Dept. of Computer Engineering

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.

 

KEYWORDS

IoT; Smart City; Smart Home; Fog Computing

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CITATION

  • APA:
    Ahn,J.& Lee,B.M.(2019). Enhanced Smart Edge Broker using Fog Computing for Smart Homes. International Journal of Artificial Intelligence and Applications for Smart Devices, 7(1), 1-6. http://dx.doi.org/10.21742/IJAIASD.2019.7.1.01
  • Harvard:
    Ahn,J.and Lee,B.M.(2019). "Enhanced Smart Edge Broker using Fog Computing for Smart Homes". International Journal of Artificial Intelligence and Applications for Smart Devices, 7(1), pp.1-6. doi:http://dx.doi.org/10.21742/IJAIASD.2019.7.1.01
  • IEEE:
    [1]J.Ahnand B.M.Lee, "Enhanced Smart Edge Broker using Fog Computing for Smart Homes". International Journal of Artificial Intelligence and Applications for Smart Devices, vol.7, no.1, pp.1-6, Nov. 2019
  • MLA:
    Ahn Jungukand Lee Byung Mun. "Enhanced Smart Edge Broker using Fog Computing for Smart Homes". International Journal of Artificial Intelligence and Applications for Smart Devices, vol.7, no.1, Nov. 2019, pp.1-6, doi:http://dx.doi.org/10.21742/IJAIASD.2019.7.1.01

ISSUE INFO

  • Volume 7, No. 1, 2019
  • ISSN(p):2288-6710
  • ISSN(o):2383-7292
  • Published:Nov. 2019

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