Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks
This paper presents a generic framework solution for minimizing video distortion of all multiple video streams transmitted over 802.11e wireless networks, including intelligent packet scheduling and channel access differentiation mechanisms. A distortion prediction model designed to capture the mult...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2007-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2007/76846 |
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| _version_ | 1832564813437337600 |
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| author | Ilias Politis Michail Tsagkaropoulos Thomas Pliakas Tasos Dagiuklas |
| author_facet | Ilias Politis Michail Tsagkaropoulos Thomas Pliakas Tasos Dagiuklas |
| author_sort | Ilias Politis |
| collection | DOAJ |
| description | This paper presents a generic framework solution for minimizing video distortion of all multiple video streams transmitted over 802.11e wireless networks, including intelligent packet scheduling and channel access differentiation mechanisms. A distortion prediction model designed to capture the multireferenced frame coding characteristic of H.264/AVC encoded videos is used to predetermine the distortion importance of each video packet in all streams. Two intelligent scheduling algorithms are proposed: the “even-loss distribution,” where each video sender is experiencing the same loss and the “greedy-loss distribution” packet scheduling, where selected packets are dropped over all streams, ensuring that the most significant video stream in terms of picture context and quality characteristics will experience minimum losses. The proposed model has been verified with actual distortion measurements and has been found more accurate than the “additive distortion” model that omits the correlation among lost frames. The paper includes analytical and simulation results from the comparison of both schemes and from their comparison to the simplified additive model, for different video sequences and channel conditions. |
| format | Article |
| id | doaj-art-3175446cebf248d393e2bb40b17c189d |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2007-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-3175446cebf248d393e2bb40b17c189d2025-02-03T01:10:03ZengWileyAdvances in Multimedia1687-56801687-56992007-01-01200710.1155/2007/7684676846Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e NetworksIlias Politis0Michail Tsagkaropoulos1Thomas Pliakas2Tasos Dagiuklas3Department of Electrical & Computer Engineering, University of Patras, GreeceMobility Applications Laboratory - Networks, Ericsson Deutschland GmbH - Eurolab, GermanyDepartment of Information & Communication Systems Engineering, University of Aegean, GreeceDepartment of Communication Systems and Networks, Technological Educational Institute of Messolonghi, GreeceThis paper presents a generic framework solution for minimizing video distortion of all multiple video streams transmitted over 802.11e wireless networks, including intelligent packet scheduling and channel access differentiation mechanisms. A distortion prediction model designed to capture the multireferenced frame coding characteristic of H.264/AVC encoded videos is used to predetermine the distortion importance of each video packet in all streams. Two intelligent scheduling algorithms are proposed: the “even-loss distribution,” where each video sender is experiencing the same loss and the “greedy-loss distribution” packet scheduling, where selected packets are dropped over all streams, ensuring that the most significant video stream in terms of picture context and quality characteristics will experience minimum losses. The proposed model has been verified with actual distortion measurements and has been found more accurate than the “additive distortion” model that omits the correlation among lost frames. The paper includes analytical and simulation results from the comparison of both schemes and from their comparison to the simplified additive model, for different video sequences and channel conditions.http://dx.doi.org/10.1155/2007/76846 |
| spellingShingle | Ilias Politis Michail Tsagkaropoulos Thomas Pliakas Tasos Dagiuklas Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks Advances in Multimedia |
| title | Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks |
| title_full | Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks |
| title_fullStr | Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks |
| title_full_unstemmed | Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks |
| title_short | Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks |
| title_sort | distortion optimized packet scheduling and prioritization of multiple video streams over 802 11e networks |
| url | http://dx.doi.org/10.1155/2007/76846 |
| work_keys_str_mv | AT iliaspolitis distortionoptimizedpacketschedulingandprioritizationofmultiplevideostreamsover80211enetworks AT michailtsagkaropoulos distortionoptimizedpacketschedulingandprioritizationofmultiplevideostreamsover80211enetworks AT thomaspliakas distortionoptimizedpacketschedulingandprioritizationofmultiplevideostreamsover80211enetworks AT tasosdagiuklas distortionoptimizedpacketschedulingandprioritizationofmultiplevideostreamsover80211enetworks |