![](/images/graphics-bg.png)
An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment
Joint Authors
Math, Sa
Zhang, Lejun
Kim, Seokhoon
Ryoo, Intae
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The existence of Mobile Edge Computing (MEC) provides a novel and great opportunity to enhance user quality of service (QoS) by enabling local communication.
The 5th generation (5G) communication is consisting of massive connectivity at the Radio Access Network (RAN), where the tremendous user traffic will be generated and sent to fronthaul and backhaul gateways, respectively.
Since fronthaul and backhaul gateways are commonly installed by using optical networks, the bottleneck network will occur when the incoming traffic exceeds the capacity of the gateways.
To meet the requirement of real-time communication in terms of ultralow latency (ULL), these aforementioned issues have to be solved.
In this paper, we proposed an intelligent real-time traffic control based on MEC to handle user traffic at both gateways.
The method sliced the user traffic into four communication classes, including conversation, streaming, interactive, and background communication.
And MEC server has been integrated into the gateway for caching the sliced traffic.
Subsequently, the MEC server can handle each user traffic slice based on its QoS requirements.
The evaluation results showed that the proposed scheme enhances the QoS and can outperform on the conventional approach in terms of delays, jitters, and throughputs.
Based on the simulated results, the proposed scheme is suitable for improving time-sensitive communication including IoT sensor’s data.
The simulation results are validated through computer software simulation.
American Psychological Association (APA)
Math, Sa& Zhang, Lejun& Kim, Seokhoon& Ryoo, Intae. 2020. An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1208847
Modern Language Association (MLA)
Math, Sa…[et al.]. An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment. Security and Communication Networks No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1208847
American Medical Association (AMA)
Math, Sa& Zhang, Lejun& Kim, Seokhoon& Ryoo, Intae. An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1208847
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208847