A Mobility-Aware and Quality-Driven Retransmission Limit Adaptation Scheme for Video Streaming over VANETs

Asefi, Mahdi; Mark, Jon W.; Shen, Xuemin

doi:10.1109/glocom.2011.6134469

Cited by 8 publications

(10 citation statements)

References 12 publications

(9 reference statements)

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“…For instance, [33] considers the drive-thru Internet scenario where a vehicle drives through the roadside infrastructure and subscribes to download media flows for live media presentation. Due to the volatile wireless channel, coupled with the interference and contentions among vehicles in proximity, packet delivery to vehicles in the drive-thru Internet scenario may suffer from severe packet losses.…”

Section: Discussionmentioning

confidence: 99%

“…This, however, prolongs the packet delivery and may lead to the underflow of playout buffer, resulting in the frozen of video playback. Asefi et al [33] models the impact of packet retransmissions on the video download rate to each user and the resultant QoE accordingly based on (4.27) and (4.32). The optimal retransmission scheme is then developed given the QoE requirement of users.…”

Section: Discussionmentioning

confidence: 99%

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Enabling Content Distribution in Vehicular Ad Hoc Networks

Luan

Shen

Bai

2014

SpringerBriefs in Computer Science

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Enabling Content Distribution in Vehicular Ad Hoc Networks

Luan

Shen

Bai

2014

SpringerBriefs in Computer Science

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“…FEC is an approach taken in recovering and correcting video stream loss or damage during transmission [88]. Although, FEC add some redundancy in order to compensate the packet loss, it ends up increasing the bandwidth utilization of the network, thereby creating another challenge [15]. MAC scheme that improves video quality through monitoring and frame size changing based on network scenario.…”

Section: Video Streaming Over Vehicular Ad-hoc Networkmentioning

confidence: 99%

Towards video streaming in IoT Environments: Vehicular communication perspective

Aliyu

Abdullah

Kaiwartya

et al. 2018

Computer Communications

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Multimedia oriented Internet of Things (IoT) enables pervasive and real-time communication of video, audio and image data among devices in immediate surroundings. Today's vehicles have the capability of supporting real time multimedia acquisition. Vehicles with high illuminating infrared cameras and customized sensors can communicate with other on-road devices using dedicated short-range communication (DSRC) and 5G enabled communication technologies. Real time incidence of both urban and highway vehicular traffic environment can be captured and transmitted using vehicle-tovehicle and vehicle-to-infrastructure communication modes. Video streaming in vehicular IoT (VSV-IoT) environments is in growing stage with several challenges that need to be addressed ranging from limited resources in IoT devices, intermittent connection in vehicular networks, heterogeneous devices, dynamism and scalability in video encoding, bandwidth underutilization in video delivery, and attaining application-precise quality of service in video streaming. In this context, this paper presents a comprehensive review on video streaming in IoT environments focusing on vehicular communication perspective. Specifically, the significance of video streaming in vehicular IoT environments is highlighted focusing on the integration of vehicular communication with 5G enabled IoT technologies, and smart city oriented application areas for VSV-IoT. A taxonomy is presented for the classification of related literature on video streaming in vehicular network environments. Following the taxonomy, critical review of literature is performed focusing on major functional model, strengths and weaknesses. Metrics for video streaming in vehicular IoT environments are derived and comparatively analyzed in terms of their usage and evaluation capabilities. Open research challenges in VSV-IoT are identified as future directions of research in the area. The survey would benefit both IoT and vehicle industry practitioners and researchers, in terms of augmenting understanding of vehicular video streaming and its IoT related trends and issues.

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“…[3][4][5] Multimedia applications in VANETs have grown recently. [6][7][8][9] For example, voice and video are suitable multimedia to carry and deliver news and advertisements which could greatly enhance the user experience. In addition, multimedia dissemination can play an important role in enhancing road safety.…”

Section: Introductionmentioning

confidence: 99%

Utility maximization for multi-vehicle multimedia dissemination in vehicular ad hoc networks

Pan

2018

International Journal of Distributed Sensor Networks

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In vehicular ad hoc networks, maximizing the satisfaction level of multimedia services is a significant issue of concern to users. Relying on the vehicle-to-infrastructure communications, how to schedule the disseminations of multiple vehicles for ensuring high efficiency and guarantee users' quality of service is difficult and challenging, due to the limited channel resource and vehicle sojourn time. In this article, the scheduling problem of multi-vehicle multimedia dissemination in vehicular ad hoc networks is investigated. A utility model is developed to map the throughput (i.e. the amount of received data) to the user satisfaction level. The scheduling problem is formulated as a utility maximization problem of all the users, which is NP-hard. Then it is transformed into a finite-state decision problem and we obtained an optimal solution by the searching algorithm, which is impractical and can serve as the upper bound. To solve the problem in practice, an online admission control and scheduling algorithm is devised, which guarantees the inflexible data requirements of those admitted vehicles and maximize the total utility. Finally, we implement and conduct extensive simulations on the basis of real video trace to evaluate the performance. Simulation results show that our proposed algorithm has better performance than the state-of-the-art and the conventional algorithms. Thus, it can effectively make scheduling decisions to obtain higher total utility and admission probability.

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A Mobility-Aware and Quality-Driven Retransmission Limit Adaptation Scheme for Video Streaming over VANETs

Cited by 8 publications

References 12 publications

Enabling Content Distribution in Vehicular Ad Hoc Networks

Enabling Content Distribution in Vehicular Ad Hoc Networks

Towards video streaming in IoT Environments: Vehicular communication perspective

Utility maximization for multi-vehicle multimedia dissemination in vehicular ad hoc networks

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