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An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony

An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony

Reza Mohammadi, Reza Javidan
Copyright: © 2016 |Volume: 12 |Issue: 4 |Pages: 18
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781466689435|DOI: 10.4018/IJIIT.2016100103
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MLA

Mohammadi, Reza, and Reza Javidan. "An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony." IJIIT vol.12, no.4 2016: pp.45-62. http://doi.org/10.4018/IJIIT.2016100103

APA

Mohammadi, R. & Javidan, R. (2016). An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony. International Journal of Intelligent Information Technologies (IJIIT), 12(4), 45-62. http://doi.org/10.4018/IJIIT.2016100103

Chicago

Mohammadi, Reza, and Reza Javidan. "An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony," International Journal of Intelligent Information Technologies (IJIIT) 12, no.4: 45-62. http://doi.org/10.4018/IJIIT.2016100103

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Abstract

In applications such as video surveillance systems, cameras transmit video data streams through network in which quality of received video should be assured. Traditional IP based networks cannot guarantee the required Quality of Service (QoS) for such applications. Nowadays, Software Defined Network (SDN) is a popular technology, which assists network management using computer programs. In this paper, a new SDN-based video surveillance system infrastructure is proposed to apply desire traffic engineering for practical video surveillance applications. To keep the quality of received videos adaptively, usually Constraint Shortest Path (CSP) problem is used which is a NP-complete problem. Hence, heuristic algorithms are suitable candidate for solving such problem. This paper models streaming video data on a surveillance system as a CSP problem, and proposes an artificial bee colony (ABC) algorithm to find optimal solution to manage the network adaptively and guarantee the required QoS. The simulation results show the effectiveness of the proposed method in terms of QoS metrics.

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