Impact of Cross-Layer Adaptations of Mobile IP on IEEE 802.11 Networks on Video Streaming

2010 ◽  
Vol 1 (3) ◽  
pp. 59-80
Author(s):  
P. De Cleyn ◽  
C. Blondia
Keyword(s):  
Video Streaming ◽  
Mobile Ip ◽  
Video Quality ◽  
Real Life ◽  
Cross Layer ◽  
Performance Gain ◽  
Layer Model ◽  
802.11 Networks ◽  
Simulation Scenario ◽  
Cross Layering

The OSI network layer model provides a strictly separated stacked architecture to abstract the behavior of one layer from the other. Although this model has a lot of advantages, it also makes it easy to lose the bigger picture. In this paper, the authors describe the advantages that can be made by cross-layering the link layer and networking layer to optimize handovers. The performance gain of these cross-layer adaptations will be analyzed using a simulation scenario and compared to the results from a real-life video streaming test. The authors will show that the performance gain in network parameters cannot be directly mapped on the gain of the video quality.

Impact of Cross-Layer Adaptations of Mobile IP on IEEE 802.11 Networks on Video Streaming

2012 ◽  
pp. 261-281
Author(s):  
P. De Cleyn ◽  
C. Blondia
Keyword(s):  
Video Streaming ◽  
Mobile Ip ◽  
Video Quality ◽  
Real Life ◽  
Cross Layer ◽  
Performance Gain ◽  
Link Layer ◽  
802.11 Networks ◽  
Simulation Scenario ◽  
Cross Layering

The OSI network layer model provides a strictly separated stacked architecture to abstract the behavior of one layer from the other. Although this model has a lot of advantages, it also makes it easy to lose the bigger picture. In this paper, the authors describe the advantages that can be made by cross-layering the link layer and networking layer to optimize handovers. The performance gain of these cross-layer adaptations will be analyzed using a simulation scenario and compared to the results from a real-life video streaming test. The authors will show that the performance gain in network parameters cannot be directly mapped on the gain of the video quality.

A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks

2010 ◽  
pp. 1879-1895
Author(s):  
Ghaida A. AL-Suhail ◽  
Liansheng Tan ◽  
Rodney A. Kennedy
Keyword(s):  
Forward Error Correction ◽  
Video Quality ◽  
Wireless Channel ◽  
Cross Layer ◽  
Radio Link ◽  
Layer Model ◽  
Data Link ◽  
Link Layer ◽  
Adaptive Fec ◽  
Forward Error

In this article, we present a simple cross-layer model that leads to the optimal throughput of multiple users for multicasting MPEG-4 video over a heterogeneous network. For heterogeneous wired-to-wireless network, at the last wireless hop there are bit errors associated with the link-layer packets that are arising in the wireless channel, in addition of overflow packet dropping over wired links. We employ a heuristic TCP function to optimize the cross-layer model of data link and physical (radio-link) layer. An adaptive Forward-Error-Correction (FEC) scheme is applied at the byte-level as well as at the packet-level. The corresponding optimal video quality can be evaluated at each client end. The results show that a server can significantly adapt to the bandwidth and FEC codes to maximize the video quality of service (QoS) in terms of temporal scaling when a maximum network throughput for each client is reached.

scholarly journals A quality of experience-aware cross-layer architecture for optimizing video streaming services

2020 ◽  
Author(s):  
qahhar muhammad qadir ◽  
Alexander A. Kist ◽  
ZHONGWEI ZHANG
Keyword(s):  
Video Streaming ◽  
Quality Of Experience ◽  
Video Quality ◽  
The Internet ◽  
Cross Layer ◽  
Video Traffic ◽  
Adaptive Architecture ◽  
Streaming Services ◽  
Simulation Results

The popularity of the video services on the Internet has evolved various mechanisms that target the Quality of Experience (QoE) optimization of video traffic. The video quality has been enhanced through adapting the sending bitrates. However, rate adaptation alone is not sufficient for maintaining a good video QoE when congestion occurs. This paper presents a cross-layer architecture for video streaming that is QoE-aware. It combines adaptation capabilities of video applications and QoE-aware admission control to optimize the trade-off relationship between QoE and the number of admitted sessions. Simulation results showed the efficiency of the proposed architecture in terms of QoE and number of sessions compared to two other architectures (adaptive architecture and non-adaptive architecture ).

scholarly journals A quality of experience-aware cross-layer architecture for optimizing video streaming services

2020 ◽  
Author(s):  
qahhar muhammad qadir ◽  
Alexander A. Kist ◽  
ZHONGWEI ZHANG
Keyword(s):  
Video Streaming ◽  
Quality Of Experience ◽  
Video Quality ◽  
The Internet ◽  
Cross Layer ◽  
Video Traffic ◽  
Adaptive Architecture ◽  
Streaming Services ◽  
Simulation Results

The popularity of the video services on the Internet has evolved various mechanisms that target the Quality of Experience (QoE) optimization of video traffic. The video quality has been enhanced through adapting the sending bitrates. However, rate adaptation alone is not sufficient for maintaining a good video QoE when congestion occurs. This paper presents a cross-layer architecture for video streaming that is QoE-aware. It combines adaptation capabilities of video applications and QoE-aware admission control to optimize the trade-off relationship between QoE and the number of admitted sessions. Simulation results showed the efficiency of the proposed architecture in terms of QoE and number of sessions compared to two other architectures (adaptive architecture and non-adaptive architecture ).

QoE-VS: A Cross-Layer QoE-Aware Video Streaming Platform Using Software-Defined Radio

2020 ◽  
Author(s):  
Mohammad Nazmus Sadat ◽  
Erwin Vargas-Alfonso ◽  
Rui Dai ◽  
Ziqian Huang ◽  
Yiling Fu ◽  
...  
Keyword(s):  
Video Streaming ◽  
Software Defined Radio ◽  
Cross Layer

scholarly journals Practical Cross-Layer Radio Frequency-Based Authentication Scheme for Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4034
Author(s):  
Arie Haenel ◽  
Yoram Haddad ◽  
Maryline Laurent ◽  
Zonghua Zhang
Keyword(s):  
Internet Of Things ◽  
Radio Frequency ◽  
Real Life ◽  
Computation Time ◽  
Cost Effective ◽  
Battery Life ◽  
Cross Layer ◽  
Security Level ◽  
Cost Of Energy ◽  
Iot Devices

The Internet of Things world is in need of practical solutions for its security. Existing security mechanisms for IoT are mostly not implemented due to complexity, budget, and energy-saving issues. This is especially true for IoT devices that are battery powered, and they should be cost effective to be deployed extensively in the field. In this work, we propose a new cross-layer approach combining existing authentication protocols and existing Physical Layer Radio Frequency Fingerprinting technologies to provide hybrid authentication mechanisms that are practically proved efficient in the field. Even though several Radio Frequency Fingerprinting methods have been proposed so far, as a support for multi-factor authentication or even on their own, practical solutions are still a challenge. The accuracy results achieved with even the best systems using expensive equipment are still not sufficient on real-life systems. Our approach proposes a hybrid protocol that can save energy and computation time on the IoT devices side, proportionally to the accuracy of the Radio Frequency Fingerprinting used, which has a measurable benefit while keeping an acceptable security level. We implemented a full system operating in real time and achieved an accuracy of 99.8% for the additional cost of energy, leading to a decrease of only ~20% in battery life.

VidCloud

2021 ◽  
Vol 5 (4) ◽  
pp. 1-32
Author(s):  
Abubakr O. Al-Abbasi ◽  
Vaneet Aggarwal
Keyword(s):  
Video Streaming ◽  
Distributed Storage ◽  
Convex Combination ◽  
Video Quality ◽  
Moment Generating Function ◽  
Content Delivery Network ◽  
Two Stage ◽  
Erasure Code ◽  
Probabilistic Scheduling ◽  
Parallel Streams

As video-streaming services have expanded and improved, cloud-based video has evolved into a necessary feature of any successful business for reaching internal and external audiences. In this article, video streaming over distributed storage is considered where the video segments are encoded using an erasure code for better reliability. We consider a representative system architecture for a realistic (typical) content delivery network (CDN). Given multiple parallel streams/link between each server and the edge router, we need to determine, for each client request, the subset of servers to stream the video, as well as one of the parallel streams from each chosen server. To have this scheduling, this article proposes a two-stage probabilistic scheduling. The selection of video quality is also chosen with a certain probability distribution that is optimized in our algorithm. With these parameters, the playback time of video segments is determined by characterizing the download time of each coded chunk for each video segment. Using the playback times, a bound on the moment generating function of the stall duration is used to bound the mean stall duration. Based on this, we formulate an optimization problem to jointly optimize the convex combination of mean stall duration and average video quality for all requests, where the two-stage probabilistic scheduling, video quality selection, bandwidth split among parallel streams, and auxiliary bound parameters can be chosen. This non-convex problem is solved using an efficient iterative algorithm. Based on the offline version of our proposed algorithm, an online policy is developed where servers selection, quality, bandwidth split, and parallel streams are selected in an online manner. Experimental results show significant improvement in QoE metrics for cloud-based video as compared to the considered baselines.

Sign in / Sign up

Export Citation Format

Share Document