Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms
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Published:2020-03-18
Issue:1(Suppl.)
Volume:17
Page:0391
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ISSN:2411-7986
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Container-title:Baghdad Science Journal
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language:
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Short-container-title:Baghdad Sci.J
Author:
Salman et al. Mustafa I.ORCID
Abstract
Software Defined Network (SDN) is a new technology that separate the control plane from the data plane. SDN provides a choice in automation and programmability faster than traditional network. It supports the Quality of Service (QoS) for video surveillance application. One of most significant issues in video surveillance is how to find the best path for routing the packets between the source (IP cameras) and destination (monitoring center). The video surveillance system requires fast transmission and reliable delivery and high QoS. To improve the QoS and to achieve the optimal path, the SDN architecture is used in this paper. In addition, different routing algorithms are used with different steps. First, we evaluate the video transmission over the SDN with Bellman Ford algorithm. Then, because the limitation of Bellman ford algorithm, the Dijkstra algorithm is used to change the path when a congestion occurs. Furthermore, the Dijkstra algorithm is used with two controllers to reduce the time consumed by the SDN controller. POX and Pyretic SDN controllers are used such that POX controller is responsible for the network monitoring, while Pyretic controller is responsible for the routing algorithm and path selection. Finally, a modified Dijkstra algorithm is further proposed and evaluated with two controllers to enhance the performance. The results show that the modified Dijkstra algorithm outperformed the other approaches in the aspect of QoS parameters.
Publisher
College of Science for Women
Subject
General Physics and Astronomy,Agricultural and Biological Sciences (miscellaneous),General Biochemistry, Genetics and Molecular Biology,General Mathematics,General Chemistry,General Computer Science
Cited by
2 articles.
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1. Using Machine Learning to Control Congestion in SDN: A Review;Lecture Notes in Networks and Systems;2024
2. Video transfer utilizing software defined network (SDN): A survey;3RD INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2021);2022