Genetic algorithm‐based routing method for enhanced video delivery over software defined networks

Yu, Yun-Shuai; Ke, Chih-Heng

doi:10.1002/dac.3391

Cited by 23 publications

(19 citation statements)

References 23 publications

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“…The Bellman-Ford algorithm has made a high loss rate of 21%, which is bad approach to select the path for video surveillance system. At first, the PLR obtained by [8] is validated. According to Eq.…”

Section: Figure 10 Mininet Emulation Results Of Four Scenarios Over mentioning

confidence: 99%

“…The OVS is a manufacture quality that designed to enable huge network automation by way of programmatic extension, whilst still supporting standard interfaces and protocols. The proposed system will follow the same steps and the same method that used by (8) to evaluate the performance metrics. Figure-2 shown the network topology for video surveillance system.…”

Section: The Network Topology and Video Filementioning

confidence: 99%

“…eeu uee ue ieu mht iu eu ieu evitil ngle tieS . The Bellman ford algorithm uses relaxation to select single source shortest paths on the graphs, it applied by (8). The time complexity for Bellman Ford is N 3 .…”

Section: Introductionmentioning

confidence: 99%

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Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms

Salman

2020

Baghdad Sci.J

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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.

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Section: Figure 10 Mininet Emulation Results Of Four Scenarios Over mentioning

confidence: 99%

Section: The Network Topology and Video Filementioning

confidence: 99%

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Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms

Salman

2020

Baghdad Sci.J

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“…[17], [18] and [19]) propose new routing methods over SDN that reduce packet loss rate and delay for enhanced video delivery. the work in [17] beets Dijkstra and Bellman-Ford algorithms with a genetic algorithm for finding the optimal path. It reduces the packet loss rate while improving the throughput and the peak signal-tonoise ratio (PSNR).…”

Section: Sdn Applied To Video Applicationsmentioning

confidence: 99%

Adaptive multicast streaming for videoconferences on software-defined networks

Hasrouty

Lamali

Autefage

et al. 2018

Computer Communications

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Real-time applications, such as video conferences, have strong Quality of Service requirements for ensuring a decent Quality of Experience. Nowadays, most of these conferences are performed over wireless devices. Thus, an appropriate management of both heterogeneous mobile devices and network dynamics is necessary. Software Defined Networking enables the use of multicasting and stream layering inside the network nodes, two techniques able to enhance the quality of live video streams. In this paper, we propose two algorithms for building and maintaining multicast sessions in a software-defined network. The first algorithm sets up the initial multicast trees for a given call. It optimally places the stream layer adaptation function inside the core network in order to minimize the bandwidth consumption. This algorithm has two versions: the first one, based on shortest path trees is minimizing the latency, while the second one, based on spanning trees is minimizing the bandwidth consumption. The second algorithm adapts the multicast trees according to the network changes occurring during a call. It does not recompute the trees, but only relocates the stream layer adaptation functions. It requires very low computation at the controller, thus making our proposal fast and highly reactive. Extensive simulation results confirm the efficiency of our solution in terms of processing time and bandwidth savings compared to existing solutions such as multiple unicast connections, Multipoint Control Unit solutions and application layer multicast. Recompute all the bitrates 5 foreach Multicast tree T i do 6 RelocateUp(T i , r) 7 if Uplink Bandwidth of a sender decreases (B(s i ) ↓) then 8 Recompute the uplink bitrate of s i 9 RelocateDown(c) where {c} = C(s i ) 10 if Uplink Bandwidth of a sender increases (B(s i ) ↑) then 11 Recompute the uplink bitrate of s i 12 Recompute the downlink bitrates of each r i,j 13 foreach receiver r i,j of T i do 14 if the bitrate of r i,j increased after recomputation then 15 RelocateUP(T i , r i,j ) 16 if Downlink bandwidth of a receiver r increases (B(r) ↑) then 17 Recompute all the bitrates 18 foreach Tree T i do 19 if the bitrate of s i increases after recomputation then 20 foreach receiver r i,j of T i do 21 if the bitrate of r i,j increased after recomputation then 22 RelocateUp(T i , r i,j ) 23 else 24 RelocateUp(T i , r)

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“…To provide data security, the secure switch network coding multicast (SSNC) scheme is proposed. In SDN, QOS is improved by incorporating genetic algorithm (GA)‐based route selection . Here, SDN is adopted for video streaming and improves QoS by GA‐based routing.…”

Section: Introductionmentioning

confidence: 99%

SeC‐SDWSN: Secure cluster‐based SDWSN environment for QoS guaranteed routing in three‐tier architecture

Vishnu¹,

Manjunath²

2019

Int J Communication

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Software defined wireless sensor network (SDWSN) is a recent evolution in networking that improves network performance and scalability. However, Quality of Service (QoS) and security are major the issues in SDWSN due to inefficient route selection (traffic load minimization algorithm) and insecure cryptography scheme (homomorphic algorithm). This paper proposes novel three-tier architecture for secure cluster-based SDWSN (SeC-SDWSN) environment to ensure QoS and security for WSN using SDN. In the first tier, sensor nodes are segregated into multiple clusters by secure hash tree-based clustering (SHTC) algorithm. Within each secure cluster, data transmission is performed through optimal route selected by adaptive spider monkey optimization (ASMO) algorithm in which two new fitness factors ( F 1 , F 2 ) are formulated by multiple QoS metrics. For data security, parallel advanced encryption standard with cipher block chaining (PAES-CBC) algorithm is proposed. Aggregated ciphertext is transmitted to optimal switch in the second tier by using fuzzy weighted technique for order preference by similarity to ideal solution (FW-TOPSIS) algorithm according to selection criteria. Switches forward the data to sink node based on flow rules deployed by SDN controllers in the third tier. SDN controllers provide global view on the entire network and deploy flow rules on switches in accordance to network status and security level. Extensive simulation in ns-3 shows that the proposed three-tier architecture achieves 5% throughput improvement, 7.8% PDR improvement, and 16% energy consumption improvement.

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Genetic algorithm‐based routing method for enhanced video delivery over software defined networks

Cited by 23 publications

References 23 publications

Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms

Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms

Adaptive multicast streaming for videoconferences on software-defined networks

SeC‐SDWSN: Secure cluster‐based SDWSN environment for QoS guaranteed routing in three‐tier architecture

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