Performance Evaluation of UDP, DCCP, SCTP and TFRC for Different Traffic Flow in Wired Networks

Wheeb, Ali H.

doi:10.11591/ijece.v7i6.pp3552-3557

Cited by 11 publications

(10 citation statements)

References 9 publications

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“…In a practical field, the design of the PIC is a process that encourages researchers to research and it relies on their experiments. The input output transfer function of the PIC is given by (8).…”

Section: The Ga and Pi Controller (Pic)mentioning

confidence: 99%

“…All these problems made researchers use modern methods and techniques to control and reduce these problems. The transmission control protocol (TCP) [6][7][8][9] is the first and major protocol of the Internet protocols group. It emerged in the premier network application in which it supplemented the internet protocol (IP), to become TCP/IP [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Proportional-integral genetic algorithm controller for stability of TCP network

Sulttan

Jaber

Shneen

2020

IJECE

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The life development and increase the number of internet users imposed an increase in data circulating on the internet network and then make the network more congestion. As a result of all this, some problems arose such as time delay in packets delivery, loss of packets, and exceed the buffer capacity for the middle routers. To overcome those problems, transmission control protocol and active queue management (TCP/AQM) have been used. AQM is the main approach used to control congestion and overcome those problems to improve network performance. This work proposes to use the proportional-integral (PI) controller with a genetic algorithm (GA) as an active queue manager for routers of the Internet. The simulation results show a good performance for managing the congestion with using proportional-integral genetic algorithm (GA-PI) controller better than the PI controller.

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Section: The Ga and Pi Controller (Pic)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proportional-integral genetic algorithm controller for stability of TCP network

Sulttan

Jaber

Shneen

2020

IJECE

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“…The bandwidth is set to 10 MHz. User Datagram Protocol (UDP) is used as a transport protocol [19]. Each user receives one H.264 video flow encoded at 242 kbps, one G.729 voice flows and one BE flow.…”

Section: Simulation Parametersmentioning

confidence: 99%

MECC scheduling algorithm in vehicular environment for uplink transmission in LTE networks

Ismail¹,

Ali²,

Yusof³

2019

IJECE

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<span>Single Carrier Frequency Division Multiple Access (SC-FDMA) is chosen because of the lower peak-to-average power ratio (PAPR) value in uplink transmission. However, the contiguity constraint is one of the major constraint presents in uplink packet scheduling, where all RBs allocated to a single UE must be contiguous in the frequency-domain within each time slot to maintain its single carrier. This paper proposed an uplink-scheduling algorithm namely the Maximum Expansion with Contiguity Constraints (MECC) algorithm, which supports both the RT and NRT services. The MECC algorithm is deployed in two stages. In the first stage, the RBs are allocated fairly among the UEs. The second stage allocates the RBs with the highest metric value and expands the allocation on both sides of the matrix, M with respect to the contiguity constraint. The performance of the MECC algorithm was observed in terms of throughput, fairness, delay, and Packet Loss Ratio (PLR) for VoIP, video and best effort flows. The MECC scheduling algorithm is compared to other algorithms namely the Round Robin (RR), Channel-Dependent First Maximum Expansion (CD-FME), and Proportional Fairness First Maximum Expansion (PF-FME). From here, it can be concluded that the MECC algorithm shows the best results among other algorithms by delivering the highest throughput which is up to 81.29% and 90.04% than CD-FME and RR scheduler for RT and NRT traffic respectively, having low PLR and delay which is up to 93.92% and 56.22% of improvement than CD-FME for the RT traffic flow. The MECC also has a satisfactory level of fairness for the cell-edge users in a vehicular environment of LTE network.</span>

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“…QoS aims to provide different quality services for various needs in the IP network. In [6], One important factor that is affected on the QoS service is the transport layer. Currently, the most common transport protocols used by internet application are TCP (Transmission Control Protocol) and UDP (User Datagram Protocol).…”

Section: Introductionmentioning

confidence: 99%

Implementation flow control to improve quality of service on computer networks

Khafidin

Andrasto

Suryono

2019

IJEECS

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<p>Quality of Service (QoS) is the collective effect of service performances, which determine the degree of satisfaction of a user of the service. In addition, QoS defined as the ability of a network to provide good service. QoS aims to provide different quality of services for various needs in the IP network. QoS parameters that can be used to analyze the data communication services are jitter, packet loss, throughput, and delay. The quality of QoS parameters in the network is affected by congestion. Congestion occurs because there is an excessive queue in the network. Congestion can be prevented by implementing flow control on network. Flow control is a method to control the data packet flow in a network. By controlling of the data packet flow, it can improve of QoS. This study intends to find out value of QoS on the internet network at Faculty Engineering, State University of Semarang by measuring network performance using QoS parameters. Then, in this research will be implemented the token bucket method as a flow control mechanism at the network to improve the QoS. After research and data analysis, internet network at Faculty Engineering State University of Semarang has QoS value was 3,5 with 87,5 % of percentage and classified in satisfying of category. When measuring the network performance, there are decreases of performance at access point that having data rates 150 Mbps with many users connected. It has 9,0 ms of delay value, 0.046 ms of jitter, 16,6% of packet loss and, 1293407 bps of throughput. After token bucket was applied as flow control mechanism that be simulated on Graphical Network Simulator 3, the internet network has QoS values 3,75 with 93,75 % of percentage and classified as “satisfying” category. Furthermore, the percentage of the throughput value obtained on network by implementing flow control is 62%, while on the existing network is 41%.</p>

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Performance Evaluation of UDP, DCCP, SCTP and TFRC for Different Traffic Flow in Wired Networks

Cited by 11 publications

References 9 publications

Proportional-integral genetic algorithm controller for stability of TCP network

Proportional-integral genetic algorithm controller for stability of TCP network

MECC scheduling algorithm in vehicular environment for uplink transmission in LTE networks

Implementation flow control to improve quality of service on computer networks

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