A Reactive and Scalable Unicast Solution for Video Streaming over VANETs

Rezende, Cristiano; Boukerche, Azzedine; Ramos, Heitor S.; Loureiro, Antônio A. F.

doi:10.1109/tc.2014.2308176

Cited by 51 publications

(29 citation statements)

References 23 publications

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“…The target of this paper is to evaluate the performance of the RSEA for a pair of moving nodes with limited conditions, having as a future objective to be used in a real-life VANET scenario for more than one pair of nodes. Peer to peer networks in vanets are studied lately in many other works [49]- [51], focusing mostly on social networks message exchange, cooperative caching or unicast video streaming. Relative speed estimation results from our proposed RSEA can be collected from a Trusted Central Authority (TCA) that exists in the area.…”

Section: Discussionmentioning

confidence: 99%

Estimating the Relative Speed of RF Jammers in VANETs

Kosmanos

Argyriou

Μαγλαράς

2019

Security and Communication Networks

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Vehicular Ad-Hoc Networks (VANETs) aim at enhancing road safety and providing a comfortable driving environment by delivering early warning and infotainment messages to the drivers. Jamming attacks, however, pose a significant threat to their performance. In this paper, we propose a novel Relative Speed Estimation Algorithm (RSEA) of a moving interfering vehicle that approaches a Transmitter (T x) -Receiver (Rx) pair, that interferes with their Radio Frequency (RF) communication by conducting a Denial of Service (DoS) attack. Our scheme is completely sensorless and passive and uses a pilot-based received signal without hardware or computational cost in order to, firstly, estimate the combined channel between the transmitter -receiver and jammer -receiver and secondly, to estimate the jamming signal and the relative speed between the jammerreceiver using the RF Doppler shift. Moreover, the relative speed metric exploits the Angle of Projection (AOP) of the speed vector of the jammer in the axis of its motion in order to form a two-dimensional representation of the geographical area. This approach can effectively be applied both for a jamming signal completely unknown to the receiver and for a jamming signal partly known to the receiver. Our speed estimator method is proven to have quite accurate performance, with a Mean Absolute Error (MAE) value of approximately 10% compared to the optimal zero MAE value under different jamming attack scenarios.

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Section: Discussionmentioning

confidence: 99%

Estimating the Relative Speed of RF Jammers in VANETs

Kosmanos

Argyriou

Μαγλαράς

2019

Security and Communication Networks

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“…In [16], Maia et al deal with the various traffic conditions by giving priority to some vehicles in the broadcasting phase and by using a rate control algorithm. In [17], Rezenda et al suggest to select the relay nodes during a time window rather than at each single packet transmission. The proposed solution also includes an estimation of the future positions of each vehicle in the selection of the relays.…”

Section: Related Workmentioning

confidence: 99%

Performance analysis of video on demand in an IEEE 802.11p-based vehicular network

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Busson

Lassous

et al. 2019

Computer Communications

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We consider a VoD (Video on-Demand) platform designed for vehicles traveling on a highway or other major roadway. Typically, cars or buses would subscribe to this delivery service so that their passengers get access to a catalog of movies and series stored on a back-end server. The network infrastructure comprises IEEE 802.11p RSUs (Road Side Units) that are deployed along the highway and deliver video content to traveling vehicles. In this paper, we propose a simple analytical and yet accurate solution to estimate two key performance parameters for a VoD platform: (i) the average download data rate experienced by vehicles over their journey and (ii) the average "interruption time", which corresponds to the fraction of time the video playback of a given vehicle is interrupted because of an empty buffer. Through multiple examples, we investigate the influence of several parameters (e.g., the video bit rate, the number of vehicles, the distance between RSUs, the vehicle velocity) on these two performance parameters whose outcome may help the sizing of an IEEE 802.11p-based VoD platform.

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“…One of these issues is related to routing and dissemination, since the end-to-end delay and delivery rate impact directly on the video quality. Many studies in the literature have proposed solutions to this problem [Resende et al 2015;Maia et al 2013;Rezende et al 2014;Pazzi and Boukerche 2014;Sharma et al 2015;Torres et al 2015;Xu et al 2015;Felice et al 2015;Maia et al 2015]. Other studies focus on providing high Quality-of-Experience (QoE) videos [Jelassi et al 2015;Pham et al 2014;, which is a basic requirement for video streaming.…”

Section: Content Delivery Solutionsmentioning

confidence: 99%

Vehicular Networks

et al. 2016

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A significant number of promising applications for vehicular ad hoc networks (VANETs) are becoming a reality. Most of these applications require a variety of heterogenous content to be delivered to vehicles and to their on-board users. However, the task of content delivery in such dynamic and large-scale networks is easier said than done. In this article, we propose a classification of content delivery solutions applied to VANETs while highlighting their new characteristics and describing their underlying architectural design. First, the two fundamental building blocks that are part of an entire content delivery system are identified: replica allocation and content delivery. The related solutions are then classified according to their architectural definition. Within each category, solutions are described based on the techniques and strategies that have been adopted. As result, we present an in-depth discussion on the architecture, techniques, and strategies adopted by studies in the literature that tackle problems related to vehicular content delivery networks. . 2016. Vehicular networks: A new challenge for content delivery-based applications.

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A Reactive and Scalable Unicast Solution for Video Streaming over VANETs

Cited by 51 publications

References 23 publications

Estimating the Relative Speed of RF Jammers in VANETs

Estimating the Relative Speed of RF Jammers in VANETs

Performance analysis of video on demand in an IEEE 802.11p-based vehicular network

Vehicular Networks

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