Dynamic Network Adaptation Framework Employing Layered Relative Priority Index for Adaptive Video Delivery

2009

Multimedia Systems

Self Cite

A data filtering scheme is proposed for transmission and error control of haptic events in hapticbased network virtual environments; this scheme is called as priority-based haptic event filtering. Because a high update rate of approximately 1 kHz is required for haptic rendering, sophisticated transmission rate control and reduction schemes are necessary for the haptic events. Although existing schemes can reduce the transmission rate without any perception impairment, they are very sensitive to packet losses. In this paper, we prioritize the haptic events according to the delay and loss effects. Utilizing the proposed haptic event prioritization, the proposed filtering scheme adapts the transmission rate and updates the predicted loss rate according to the current network state. Our simulation and experiment results confirm that the proposed scheme can effectively select important haptic events and guarantee an improved haptic interaction quality over a bandwidth-limited lossy network than existing transmission schemes tailored for networked haptics.

Section: Proposed Haptic Event Prioritizationmentioning

confidence: 99%

Priority-based haptic event filtering for transmission and error control in networked virtual environments

2009

Multimedia Systems

Self Cite

“…Note that the main purpose of introducing the layered RPI is to abstract and isolate the coding details from the network adaptation task [5]. Please refer to [5] for more detailed explanation about the overall network adaptation strategy for the adaptive video delivery in general.…”

Section: Network Adaptation Framework For Wireless Networkmentioning

confidence: 99%

“…Please refer to [5] for more detailed explanation about the overall network adaptation strategy for the adaptive video delivery in general. By assigning layered RPI to each packet of video stream in an appropriate manner, the dynamic network adaptation framework can accommodate the demand of each stream that tries to achieve the best end-to-end performance by adapting to the fluctuating underlying networks.…”

Section: Network Adaptation Framework For Wireless Networkmentioning

confidence: 99%

“…In this work, by applying differentiation mechanisms in the MAC (medium access control) layer of IEEE 802.11 WLAN, a source-channel network adaptation is investigated employing a dynamic network adaptation framework proposed in [5]. The required network adaptation is guided by the layered relative priority index (RPI) that extends the RPI for standard-based video codecs (e.g., ITU-T H.263+, ISO/IEC MPEG-4) [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Network-adaptive video transmission and differentiation mechanisms over IEEE 802.11 wireless LAN

Yoon

Applications of Digital Image Processing XXVI

2003

Self Cite

Video over IEEE 802.11-based wireless LAN is facing lots of challenges due to the dynamically varying wireless channel and due to lack of appropriate QoS differentiation capability in the IEEE 802.11 MAC (medium access control). In this paper, differentiation mechanism coordinated by both video application and wireless MAC is adopted to realize a network-adaptive video transmission over the wireless LAN. To support the required QoS differentiation for loss/delay sensitive video stream, modified version of EDCF (enhanced distributed coordination function) MAC is utilized, which provides loss/delay differentiation by controlling contention window size and distributed inter-frame space interval. The differentiation is then matched by the prioritization of video application, represented in the relative priority index (RPI). The network simulation with NS2 (network simulator) verifies that the proposed prioritization and modified EDCF improves the performance of video transmission over IEEE 802.11 wireless LAN.Keywords: End-to-end wireless video, IEEE 802.11 wireless LAN, MAC differentiation mechanism, joint sourcechannel error control, network adaptive media transmission, and packet prioritization.

“…1 shows the proposed network-adaptive HD streaming framework. The proposed adaptive streaming system based on the network adaptation framework [4] adopts the real-time parsing and the corresponding frame-based prioritized packetization (e.g., I, P, and B) of HD MPEG-2 video. The streaming server transmits 19.2 Mb/s HD video to the wireless streaming client over IEEE 802.11a WLAN.…”

Section: Introductionmentioning

confidence: 99%

Network-adaptive high definition MPEG-2 streaming over IEEE 802.11a WLAN using frame-based prioritized packetization

Park

Proceedings of the 3rd ACM International Workshop on Wireless Mobile Applications and Services on WLAN Hotspots

2005

Self Cite

In this paper, we propose a practical implementation of network-adaptive HD (high definition) MPEG-2 streaming using frame-based prioritized packetization over the IEEE 802.11a WLAN (wireless local area network). The proposed adaptive streaming system nicely provides frame-based prioritized packetization by developing a real-time MPEG-2 TS (transport stream) parsing tool. It then dynamically performs priority-based droppings of packets according to the network status observed by end-to-end monitoring. The implemented system thus can mitigate the long-term fluctuations of time-varying channel only with negligible delays. Evaluation results over an IEEE 802.11a WLAN testbed are provided to verify the intended QoS adaptation capability.