Research Article | OPEN ACCESS
Single-Board-Computer-Based Traffic Generator for a Heterogeneous and Hybrid Smart Grid Communication Network
1Do Nguyet Quang, 1Ong Hang See, 1Lai Lee Chee, 1Che Yung Xuen and 2Shashiteran A/L. Karuppiah
1Department of Electronics and Communication Engineering, Universiti Tenaga Nasional (UNITEN), Selangor 43000, Malaysia
2Tenaga Nasional Berhad Research, Selangor 43000, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2014 8:1587-1597
Received: May 17, 2013 | Accepted: June 11, 2013 | Published: February 27, 2014
Abstract
In smart grid communication implementation, network traffic pattern is one of the main factors that affect the system’s performance. Examining different traffic patterns in smart grid is therefore crucial when analyzing the network performance. Due to the heterogeneous and hybrid nature of smart grid, the type of traffic distribution in the network is still unknown. The traffic that popularly used for simulation and analysis no longer reflects the real traffic in a multi-technology and bi-directional communication system. Hence, in this study, a single-board computer is implemented as a traffic generator which can generate network traffic similar to those generated by various applications in the fully operational smart grid. By placing in a strategic and appropriate position, a collection of traffic generators allow network administrators to investigate and test the effect of heavy traffic on performance of smart grid communication system.
Keywords:
Kernel space, network performance, network traffic, smart grid, stress test, traffic generator,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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