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Design, Implementation and Verification of Topology Network Architecture of Smart Home Tree

Youbang Guan1,2, Bong Jun Choi3,*

1 Department of Advanced Research and Development, Qingdao, China
2 Department of Engineering, University of Leicester, Leicester, England
3 School of Computer Science and Engineering, Soongsil University, Seoul, Korea

* Corresponding Author: Bong Jun Choi. Email: email

Computers, Materials & Continua 2021, 68(2), 2399-2411. https://doi.org/10.32604/cmc.2021.012365

Abstract

Smart home technology provides consumers with network connectivity, automation or enhanced services for home devices. With the Internet of Things era, a vast data flow makes business platforms have to own the same computing power to match their business services. It achieves computing power through implementing big data algorithms deployed in the cloud data center. However, because of the far long geographical distance between the client and the data center or the massive data capacity gap, potentially high latency and high packet loss will reduce the usability of smart home systems if service providers deploy all services in the cloud data center. Edge computing and fog computing can significantly improve the utilization of network resources and reconstruct the network architecture for the user’s home. This article enables a fog resource-based resource allocation management technology. It provides a method that can more reasonably allocate network resources through a virtualized middle-tier method to ensure low response time and configure Quality of Service to ensure the use of delay-sensitive critical applications to improve the reliability of smart home communication system. Besides, the proposed method has is tested and verified by adjusting the variables of the network environment. We realize the optimization of resource allocation of client network without changing the hardware of client.

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Cite This Article

Y. Guan and B. Jun Choi, "Design, implementation and verification of topology network architecture of smart home tree," Computers, Materials & Continua, vol. 68, no.2, pp. 2399–2411, 2021.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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