Adaptive Video-streaming Dissemination in Realistic Highway Vehicular Ad-Hoc Networks

Paredes, Cristhian Iza; Mezher, Ahmad Mohamad; Igartua, Mónica Aguilar

doi:10.1145/2989293.2989301

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…Figures show 95% confidence intervals for 10 repetitions per point with independent seeds. Our AAD proposal used with the two game-theoretical algorithms adapted for Figure 15) shows benefits compared to other similar state-of-the-art dissemination protocols: Junction Store and Forward (JSF) [51], Neighbor Store and Forward (NSF) [52], distance-flooding [53], and our previous proposal RCP+ [54]. Figure 15 shows the FDR for a light vehicle density of 40 veh./km 2 .…”

Section: Efficient Game-theoretical Dissemination Of Warning Messamentioning

confidence: 97%

INRISCO: INcident monitoRing in Smart COmmunities

et al. 2020

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Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social networks, citizens provide a wealth of information that, after properly processing, can support numerous applications for the benefit of the community. In the context of smart communities, the INRISCO [1] proposal intends for (i) the early detection of abnormal situations in cities (i.e., incidents), (ii) the analysis of whether, according to their impact, those incidents are really adverse for the community; and (iii) the automatic actuation by dissemination of appropriate information to citizens and authorities. Thus, INRISCO will identify and report on incidents in traffic (jam, accident) or public infrastructure (e.g., works, street cut), the occurrence of specific events that affect other citizens' life (e.g., demonstrations, concerts), or environmental problems (e.g., pollution, bad weather). It is of particular interest to this proposal the identification of incidents with a social and economic impact, which affects the quality of life of citizens. INDEX TERMS Early detection of incidents, smart cities, citizen sensor, vehicular communications, big data analysis, social networks.

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Section: Efficient Game-theoretical Dissemination Of Warning Messamentioning

confidence: 97%

INRISCO: INcident monitoRing in Smart COmmunities

et al. 2020

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“…A key component to efficiently transport video with its stringent playout deadlines and bursty traffic characteristics, is using the most–efficient current encoding format. According to our previous studies [ 29 , 30 ], H.265 allows us to transport higher quality videos with better resolution at the same bit rates of previous generation codecs, reducing overall cost of video delivery while improving on the quality of experience for users. The latest versions of HM (HEVC Test Model) [ 11 ] reference software model was used for encoding video sequences with H.265/HEVC.…”

Section: Adaptive Distributed Dissemination Protocol Descriptionmentioning

confidence: 99%

“…To do so, we have implemented the code of ADD with both the Volunteer’s Dilemma and the Forwarding Game as selection mechanisms of the next forwarding vehicle or vehicles. The purpose of the performance evaluation was to compare ADD with three well-known state-of-the-art protocols: Junction Store and Forward (JSF) [ 40 ], Neighbor Store and Forward (NSF) [ 9 ], RCP+ [ 30 ] and a simple flooding approach (Distance-Flooding) [ 12 ], in light of a realistic simulation environment.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Game-Theoretical Design of an Adaptive Distributed Dissemination Protocol for VANETs

Paredes

Mezher

Igartua

et al. 2018

Sensors

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Road safety applications envisaged for Vehicular Ad Hoc Networks (VANETs) depend largely on the dissemination of warning messages to deliver information to concerned vehicles. The intended applications, as well as some inherent VANET characteristics, make data dissemination an essential service and a challenging task in this kind of networks. This work lays out a decentralized stochastic solution for the data dissemination problem through two game-theoretical mechanisms. Given the non-stationarity induced by a highly dynamic topology, diverse network densities, and intermittent connectivity, a solution for the formulated game requires an adaptive procedure able to exploit the environment changes. Extensive simulations reveal that our proposal excels in terms of number of transmissions, lower end-to-end delay and reduced overhead while maintaining high delivery ratio, compared to other proposals.

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“…Video streaming over the inter-vehicular network promises an improvement in road safety and driverenvironment safety driving [1]. A vehicle with an intelligent transportation system and a camera adopted able to records surrounding geographic scenes of a highway and events during driving session and stream the video and data to other smart vehicles nearby through the advantage of an inter-vehicular network named VANET [2] for example. In VANET video and data streamed include the information of the road scenery and vehicle motion such as vehicle position, distance, and speed.…”

Section: Introductionmentioning

confidence: 99%

Vehicular networking and computer vision-based distance estimation for VANET application using Raspberry Pi 3

Pratama

Gruosso

Santoso

et al. 2019

J. Mechatron. Electr. Power Veh. Technol.

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This research was implementing vehicle networking using WIFI connection and computer vision to measure the distance of vehicles in front of a driver. In particular, this works aimed to improve a safe driving environment thus supporting the current technology concept being developed for inter-vehicular networking, VANET, especially in its safety application such as Overtaking Assistance System. Moreover, it can wirelessly share useful visual information such as hazard area of a road accident. In accordance with Vehicle-to-Vehicle (V2V) concept, a vehicle required to be able to conduct networking via a wireless connection. Useful data and video were the objects to be sent over the network established. The distance of a vehicle to other vehicles towards it is measured and sent via WIFI together with a video stream of the scenery experienced by the front vehicle. Haar Cascade Classifier is chosen to perform the detection. For distance estimation, at least three methods have been compared in this research and found evidence that, for measuring 5 meters, the iterative methods shows 5.80. This method performs well up to 15 meters. For measuring 20 meters, P3P method shows a better result with only 0.71 meters to the ground truth. To provide a physical implementation for both the detection and distance estimation mechanism, those methods were applied in a compact small-sized vehicle-friendly computer device the Raspberry Pi. The performance of the built system then analyzed in terms of streaming latency and accuracy of distance estimation and shows a good result in measuring distance up to 20 meters.

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Adaptive Video-streaming Dissemination in Realistic Highway Vehicular Ad-Hoc Networks

Cited by 5 publications

References 9 publications

INRISCO: INcident monitoRing in Smart COmmunities

INRISCO: INcident monitoRing in Smart COmmunities

Game-Theoretical Design of an Adaptive Distributed Dissemination Protocol for VANETs

Vehicular networking and computer vision-based distance estimation for VANET application using Raspberry Pi 3

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