Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks
Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmit...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shu, Lei [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC 2009 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Springer US, 1987, 54(2009), 1 vom: 20. Aug., Seite 94-121 |
|---|---|
| Übergeordnetes Werk: |
volume:54 ; year:2009 ; number:1 ; day:20 ; month:08 ; pages:94-121 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11227-009-0321-6 |
|---|
| Katalog-ID: |
OLC2033936945 |
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| 520 | |a Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. | ||
| 650 | 4 | |a Context-aware | |
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| 650 | 4 | |a Video streaming | |
| 650 | 4 | |a Wireless multimedia sensor networks | |
| 700 | 1 | |a Zhang, Yan |4 aut | |
| 700 | 1 | |a Yu, Zhiwen |4 aut | |
| 700 | 1 | |a Yang, Laurence T. |4 aut | |
| 700 | 1 | |a Hauswirth, Manfred |4 aut | |
| 700 | 1 | |a Xiong, Naixue |4 aut | |
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10.1007/s11227-009-0321-6 doi (DE-627)OLC2033936945 (DE-He213)s11227-009-0321-6-p DE-627 ger DE-627 rakwb eng 004 620 VZ Shu, Lei verfasserin aut Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2009 Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. Context-aware Cross-layer Optimization Data gathering Video streaming Wireless multimedia sensor networks Zhang, Yan aut Yu, Zhiwen aut Yang, Laurence T. aut Hauswirth, Manfred aut Xiong, Naixue aut Enthalten in The journal of supercomputing Springer US, 1987 54(2009), 1 vom: 20. Aug., Seite 94-121 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:54 year:2009 number:1 day:20 month:08 pages:94-121 https://doi.org/10.1007/s11227-009-0321-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2010 AR 54 2009 1 20 08 94-121 |
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10.1007/s11227-009-0321-6 doi (DE-627)OLC2033936945 (DE-He213)s11227-009-0321-6-p DE-627 ger DE-627 rakwb eng 004 620 VZ Shu, Lei verfasserin aut Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2009 Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. Context-aware Cross-layer Optimization Data gathering Video streaming Wireless multimedia sensor networks Zhang, Yan aut Yu, Zhiwen aut Yang, Laurence T. aut Hauswirth, Manfred aut Xiong, Naixue aut Enthalten in The journal of supercomputing Springer US, 1987 54(2009), 1 vom: 20. Aug., Seite 94-121 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:54 year:2009 number:1 day:20 month:08 pages:94-121 https://doi.org/10.1007/s11227-009-0321-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2010 AR 54 2009 1 20 08 94-121 |
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10.1007/s11227-009-0321-6 doi (DE-627)OLC2033936945 (DE-He213)s11227-009-0321-6-p DE-627 ger DE-627 rakwb eng 004 620 VZ Shu, Lei verfasserin aut Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2009 Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. Context-aware Cross-layer Optimization Data gathering Video streaming Wireless multimedia sensor networks Zhang, Yan aut Yu, Zhiwen aut Yang, Laurence T. aut Hauswirth, Manfred aut Xiong, Naixue aut Enthalten in The journal of supercomputing Springer US, 1987 54(2009), 1 vom: 20. Aug., Seite 94-121 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:54 year:2009 number:1 day:20 month:08 pages:94-121 https://doi.org/10.1007/s11227-009-0321-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2010 AR 54 2009 1 20 08 94-121 |
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| title_full |
Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks |
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Shu, Lei |
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The journal of supercomputing |
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The journal of supercomputing |
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eng |
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000 - Computer science, information & general works 600 - Technology |
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2009 |
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94 |
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Shu, Lei Zhang, Yan Yu, Zhiwen Yang, Laurence T. Hauswirth, Manfred Xiong, Naixue |
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54 |
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004 620 VZ |
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Shu, Lei |
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10.1007/s11227-009-0321-6 |
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004 620 |
| title_sort |
context-aware cross-layer optimized video streaming in wireless multimedia sensor networks |
| title_auth |
Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks |
| abstract |
Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. © Springer Science+Business Media, LLC 2009 |
| abstractGer |
Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. © Springer Science+Business Media, LLC 2009 |
| abstract_unstemmed |
Abstract The appearance of wireless multimedia sensor networks (WMSNs) requires a new generation transmission paradigm towards intelligent and ubiquitous communication. Video sensors are used in WMSNs to enhance the capability for event description. Multiple routing paths are often used for transmitting video streams. However, not every path found by multi-path routing algorithm is suitable for transmitting video, because a long routing path with a long end-to-end transmission delay may not satisfy the time constraint of the video. Furthermore, each video stream includes two kinds of information: image and audio streams. In different applications, image and audio streams play different roles, and the importance levels are different. Higher priority should be given to the more important stream (either the image stream or the audio stream) to guarantee the using of limited bandwidth and energy in WMSNs. In this paper, we propose a context-aware cross-layer optimized Multi-Path Multi-Priority (MPMP) transmission scheme, in which a Two-Phase geographic Greedy Forwarding (TPGF) multi-path routing protocol is used in network layer to explore the maximum number of node-disjoint routing paths, and a Context-Aware Multi-path Selection algorithm (CAMS) is used in transport layer to choose the maximum number of paths from all found node-disjoint routing paths for maximizing the gathering of the most valuable information to the base station. Simulation results show that the MPMP scheme can effectively maximize the gathering of the most valuable information and guarantee the end-to-end transmission delay. © Springer Science+Business Media, LLC 2009 |
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Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks |
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https://doi.org/10.1007/s11227-009-0321-6 |
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Zhang, Yan Yu, Zhiwen Yang, Laurence T. Hauswirth, Manfred Xiong, Naixue |
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Zhang, Yan Yu, Zhiwen Yang, Laurence T. Hauswirth, Manfred Xiong, Naixue |
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| up_date |
2024-07-03T18:58:26.162Z |
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