An Enhanced Safety Algorithm for Network QoS Multicast Routing Optimization

Wei, Liu; Cui, Yongfeng; Li, Ya

doi:10.11591/telkomnika.v12i4.4245

Cited by 3 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The constants in equation (4), (5) and (6) are the recommended numbers by [16] which are not changed because of the network conditions. To calculate MOS (ITU-T P.800) based on the estimated -value, there are provisions presented in equation (7). ITU-T recommendation G.107 [16] has established a classification of user satisfaction based on rating factor of the E-model formula and the estimated MOS as shown in Table 2.…”

Section: (4)mentioning

confidence: 99%

See 1 more Smart Citation

A Methodology for Characterizing Real-Time Multimedia Quality of Service in Limited Bandwidth Network

Bandung

Sumardi

2016

TELKOMNIKA

View full text Add to dashboard Cite

This paper presents how to characterize the quality of multimedia which consists of audio and video that are transmitted in real-time communication through the Internet with limited bandwidth. We developed a methodology of characterizing the multimedia Quality-of-Service (QoS) IntroductionMultimedia communication over the Internet has been the subject of many research works over the last few years [1] - [3] . Multimedia communication technology has been available to the transmission of a variety types of media such as text, graphics, animation, audio, and video over the Internet that are carried out continuously into data stream. Basically, multimedia streaming applications are divided into 3 categories [4] : (i) streaming of stored audio/video, (ii) streaming of live audio/video, and (iii) conversational of voice/video-over-IP. These categories are also known as (i) video on demand, (ii) live streaming, and (iii) real time streaming. First, video on demand allows users to perform playback control such as pause, rewind, or fast forward. Second, live streaming allows users to receive live broadcasts such as broadcast television or radio. Third, real time streaming allows users to communicate with audio or video in real-time.One application of multimedia communication technology for education is distance learning through virtual classroom technology. This technology allows a learning process facilitated by a teacher in a real classroom can be virtually shared into other classrooms at different locations [5] . With virtual classroom technology, learning process between two or more classrooms can be conducted through a real-time multimedia communication over the Internet. Learning process in each classroom is recorded into audio and video and transmitted between those classrooms. Moreover, data also can be communicated between classrooms for example in remote presentation or desktop sharing.Quality of audio and video during the learning process through a virtual classroom technology becomes a significant factor for the successful delivery of learning materials. This is because students in virtual classroom participate virtually in a learning process with a teacher in the real classroom. Thus, the comfort of learning materials delivery depends on the quality of audio-video transmitted through the Internet. Low quality of audio-video can make the learning proccess being interrupted or even cannot be held. Our study revealed that the quality of

show abstract

Section: (4)mentioning

confidence: 99%

“…R-value of audio and video delivery obtained are 84.11 and 80.08. MOS value was calculated using equation (7). MOS of audio delivery was 4.17 and MOS of video delivery was 4.03.…”

Section: Characterization Of Multimedia Qosmentioning

confidence: 99%

A Methodology for Characterizing Real-Time Multimedia Quality of Service in Limited Bandwidth Network

Bandung

Sumardi

2016

TELKOMNIKA

View full text Add to dashboard Cite

show abstract

“…To achieve the high QoS, applications should be implemented in gateways(routers) to let the networks exchange the information between nodes with high speed, and tolet the networks don't consume toomuch connection space [10]. So, we used RED gatewayswith theheterogeneous network to keep lower space in average queue size.…”

Section: System Model 21 Qos Management By Red and Wred Strategiesmentioning

confidence: 99%

Performance Evaluation of Heterogeneous Network Based on RED and WRED

Lafta

Jabbar

2016

IJEECS

View full text Add to dashboard Cite

The developing of wireless networks becomes a very important issue nowadays, since it is considered as an easy-using tool without building new infrastructure to cover a wide working area. (QoS) is improved by reducing the queue delay and buffer usage, and by increasing the average throughput and utilizationof the system. The simulation is carried out by using OPNET software to test the proposed models for different scenarios. Applying TCP protocols with the application demands are implemented this work by considering heterogeneous environment of wireless networks connecting with wired networks. The TCP congestion is critical problem is faced heterogeneous environments, this problem is appeared through sending and receiving huge data from wireless networks to wired networks and vice versa. This work is proposed a new approach of using active queue management (AQM) technique with random early detection (RED) and weight random early detection (WRED) strategies to avoid the expected congestion between the heterogeneous environments. Our simulation results show that the quality of service

show abstract

Fault Tolerant Multi-Criteria Multi-Path Routing in Wireless Sensor Networks

Khan

Goodridge²

2015

IJISA

View full text Add to dashboard Cite

The Ad Hoc On-Demand Multi-Path Distance Vector (AOMDV) routing protocol allows the transport of data along one or more paths in wireless sensor networks (WSNs). The path chosen is based on a single shortest path hop count metric. The data on some WSNs is mission critical, for example, military and health care applications. Hence, fault tolerance in WSNs is becoming increasingly important. To improve the fault tolerance of WSNs in lossy environments, this work adds to the AOMDV routing protocol as it incorporates an additional packet loss metric. This Multi-criteria AOMDV or M-AOMDV is evaluated using the ns2 simulator. Simulations show that M-AOMDV maintains relatively low packet loss rates when the WSN is experiencing loss.

show abstract

An Enhanced Safety Algorithm for Network QoS Multicast Routing Optimization

Cited by 3 publications

References 10 publications

A Methodology for Characterizing Real-Time Multimedia Quality of Service in Limited Bandwidth Network

A Methodology for Characterizing Real-Time Multimedia Quality of Service in Limited Bandwidth Network

Performance Evaluation of Heterogeneous Network Based on RED and WRED

Fault Tolerant Multi-Criteria Multi-Path Routing in Wireless Sensor Networks

Contact Info

Product

Resources

About