Performance analysis of audio video codecs over Wi-Fi/WiMAX network

Recently, Wi-Fi, WiMAX and LTE networks are broadly used for various data communications. WiMAX is considered suitable as a backhaul service to connect with multiple dispersed Wi-Fi 'hotspots'. Wireless networks such as Wi-Fi and WiMAX focus on delivering Quality of Service (QoS) for audio...

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Main Authors: Irma Syarlina Hj Che Ilias, Mohamad Sahimi Ibrahim, (UniKL MIIT)
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Published: 2014
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Online Access:http://dl.acm.org/citation.cfm?id=2558009
http://localhost/xmlui/handle/123456789/6306
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spelling my.unikl.ir-63062014-04-24T03:22:29Z Performance analysis of audio video codecs over Wi-Fi/WiMAX network Irma Syarlina Hj Che Ilias Mohamad Sahimi Ibrahim (UniKL MIIT) Performance Analysis Design Aids Recently, Wi-Fi, WiMAX and LTE networks are broadly used for various data communications. WiMAX is considered suitable as a backhaul service to connect with multiple dispersed Wi-Fi 'hotspots'. Wireless networks such as Wi-Fi and WiMAX focus on delivering Quality of Service (QoS) for audio and video communications. However, there are numerous aspects that affect the communications on the networks. In this paper, an integrated Wi-Fi/WiMAX network has been investigated by using three different audio codecs and two video codecs. A test-bed is designed to generate and evaluate performance metrics delay, jitter, packet loss and Mean Opinion Score (MOS). A softphone is used as an audio-video application. By comparing various audio video codecs and communication distances, some recommendations are made for choosing an appropriate codec for the integrated Wi-Fi/WiMAX networks. 2014-04-24T03:22:29Z 2014-04-24T03:22:29Z 2014-04-24 978-1-4503-2644-5 http://dl.acm.org/citation.cfm?id=2558009 http://localhost/xmlui/handle/123456789/6306 Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication;
institution Universiti Kuala Lumpur
building UniKL Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kuala Lumpur
content_source UniKL Institutional Repository
url_provider http://ir.unikl.edu.my/
topic Performance Analysis
Design Aids
spellingShingle Performance Analysis
Design Aids
Irma Syarlina Hj Che Ilias
Mohamad Sahimi Ibrahim
(UniKL MIIT)
Performance analysis of audio video codecs over Wi-Fi/WiMAX network
description Recently, Wi-Fi, WiMAX and LTE networks are broadly used for various data communications. WiMAX is considered suitable as a backhaul service to connect with multiple dispersed Wi-Fi 'hotspots'. Wireless networks such as Wi-Fi and WiMAX focus on delivering Quality of Service (QoS) for audio and video communications. However, there are numerous aspects that affect the communications on the networks. In this paper, an integrated Wi-Fi/WiMAX network has been investigated by using three different audio codecs and two video codecs. A test-bed is designed to generate and evaluate performance metrics delay, jitter, packet loss and Mean Opinion Score (MOS). A softphone is used as an audio-video application. By comparing various audio video codecs and communication distances, some recommendations are made for choosing an appropriate codec for the integrated Wi-Fi/WiMAX networks.
format
author Irma Syarlina Hj Che Ilias
Mohamad Sahimi Ibrahim
(UniKL MIIT)
author_facet Irma Syarlina Hj Che Ilias
Mohamad Sahimi Ibrahim
(UniKL MIIT)
author_sort Irma Syarlina Hj Che Ilias
title Performance analysis of audio video codecs over Wi-Fi/WiMAX network
title_short Performance analysis of audio video codecs over Wi-Fi/WiMAX network
title_full Performance analysis of audio video codecs over Wi-Fi/WiMAX network
title_fullStr Performance analysis of audio video codecs over Wi-Fi/WiMAX network
title_full_unstemmed Performance analysis of audio video codecs over Wi-Fi/WiMAX network
title_sort performance analysis of audio video codecs over wi-fi/wimax network
publishDate 2014
url http://dl.acm.org/citation.cfm?id=2558009
http://localhost/xmlui/handle/123456789/6306
_version_ 1644484808146944000
score 13.222552