On per-session end-to-end delay distributions and the call admission problem for real-time applications with QOS requirements

1993 ◽  
Author(s):  
David Yates ◽  
James Kurose ◽  
Don Towsley ◽  
Michael G. Hluchyj
Keyword(s):  
Real Time ◽  
Call Admission ◽  
End To End Delay ◽  
Real Time Applications ◽  
End To End

On Per-Session End-to-End Delay and the Call Admission Problem for Real-Time Applications with QOS Requirements

1994 ◽  
Vol 3 (4) ◽  
pp. 429-457 ◽  
Author(s):  
David Yates ◽  
James Kurose ◽  
Don Towsley ◽  
Michael G. Hluchyj
Keyword(s):  
Real Time ◽  
Call Admission ◽  
End To End Delay ◽  
Real Time Applications ◽  
End To End

Minimizing End-to-End Delay on Real-Time Applications

2019 ◽  
Vol 107 (1) ◽  
pp. 41-55
Author(s):  
Tapas Kumar Mishra ◽  
Sachin Tripathi
Keyword(s):  
Real Time ◽  
End To End Delay ◽  
Real Time Applications ◽  
End To End

Evaluating The Performance for DCF Protocol and EDCA Protocol

2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Ahmed Abu-Khadrah ◽  
Zahriladha Zakaria ◽  
Mohdazlishah Othman
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Area Network ◽  
Distributed Coordination ◽  
Data Types ◽  
End To End Delay ◽  
Main Challenge ◽  
Qos Parameters ◽  
End To End ◽  
Coordination Function

Nowadays supporting quality of service (QOS) for real time application is the main challenge of the wireless area network. 802.11standards use distributed Coordination Function (DCF) protocol and Enhanced Distributed Channel Access (EDCA) protocol in the MAC layer. DCF protocol has only one queue for different data types, it deals with data depending on the arriving time. There is no priority to serve real time applications faster. However EDCA protocol has four queues and each queue works with specific data type. Voice, video, best effort and background are the different queues in the EDCA protocol. Different parameters and priorities are defined for each queue. The voice queue reserves the highest priority and serves its data first. In this paper QOS parameters are measured for both DCF and EDCA protocol by using OPNET simulation. The QOS parameters must reach the requirements to support QOS. The results show how QOS parameters do not reach the requirements when using DCF protocol. The values of the end to end delay and the packet loss percentage are 0.514second, 19.04% respectively. But, when using EDCA protocol the end to end delay becomes 0.0624 second and the percentage of the packet loss decreases until reach 0.00617%. So the QOS parameters achieve requirements with EDCA protocol and support QOS.

scholarly journals Real-Time Communications in Large-Scale Wireless Networks

2008 ◽  
Vol 2008 ◽  
pp. 1-16 ◽  
Author(s):  
Liang Song ◽  
Dimitrios Hatzinakos
Keyword(s):  
Wireless Networks ◽  
Real Time ◽  
Large Scale ◽  
Visual Sensor ◽  
Broadband Internet ◽  
Multihop Wireless ◽  
Data Packets ◽  
End To End Delay ◽  
End To End ◽  
Qos Performance

There is an emerging need for realizing real-time quality of service (QoS) over multihop wireless communications in large-scale wireless networks. The applications can include wireless mesh infrastructure for broadband Internet access supporting multimedia services, visual sensor networks for surveillance, and disaster-relief networks. However, a number of challenges still exist as revealed by recent works, where the dataflow QoS performance such as throughput and end-to-end delay can degrade fast with the number of wireless hops. We propose to use large-scale cognitive networking methods to resolve the wireless multihop challenges. By the cognitive-networking concept, data packets travel along opportunistically available paths in the network with opportunistically available spectrum in every hop. Reliable end-to-end communications can be achieved for real-time services, where we show that (1) dataflow throughput can be independent of any number of wireless hops, (2) end-to-end delay and delay variance increase linearly with the number of wireless hops, and (3) delay variance decreases to zero with higher network density. These results are supported by analysis, simulations, and experiments.

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