A Bandwidth-Efficient Dissemination Scheme of Non-Safety Information in Urban VANETs

Garcia-Lozano, Estrella; Campo, Celeste; Garcia-Rubio, Carlos; Rodríguez-Carrión, Alicia

doi:10.3390/s16070988

Cited by 2 publications

(3 citation statements)

References 15 publications

(27 reference statements)

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“…In [41] we evaluate different ways to detect and take advantage of intersections. Broadcast storms are usually avoided by using broadcast suppression schemes.…”

Section: B Efficient Dissemination Of Warnings and Advertisements Inmentioning

confidence: 99%

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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“…In [41] we evaluate different ways to detect and take advantage of intersections. Broadcast storms are usually avoided by using broadcast suppression schemes.…”

Section: B Efficient Dissemination Of Warnings and Advertisements Inmentioning

confidence: 99%

INRISCO: INcident monitoRing in Smart COmmunities

et al. 2020

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“…A semi-markov process analytical model is proposed to evaluate the expected delay in constructing one routing path for LBRP. While Garcia-Lozano et al [ 21 ] discussed the applicability of several options to avoid the broadcast storm problem while trying to achieve the maximum coverage of the region of interest. Specifically, they have evaluated through simulations different ways to detect and take advantage of intersections and a strategy based on store-carry-forward to overcome short disconnections between groups of vehicles.…”

Section: Related Workmentioning

confidence: 99%

“…It is worthwhile to mention that in high density scenarios, the server selection scheme might suffer from broadcast storm problem [ 21 ]. To alleviate the effects of broadcast storm problem, the server selection in DIFTOS includes a broadcast suppression scheme.…”

Section: System Architecturementioning

confidence: 99%

DIFTOS: A Distributed Infrastructure-Free Traffic Optimization System Based on Vehicular Ad Hoc Networks for Urban Environments

Zhang

Aung

Dhelim

et al. 2018

Sensors

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Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has to perform intensive communication and computational tasks. Secondly unpredictability: they use smartphones and other sensors to detect the congested roads and warn upcoming vehicles accordingly. In other words, they are used to solve the problem rather than avoiding it. Lastly, infrastructure dependency: they assume the presence of pre-installed infrastructures such as roadside unit (RSU) or cellular 3G/4G networks. Motivated by the above-mentioned reasons, in this paper, we proposed a fully distributed and infrastructure-less congestion avoidance and traffic optimization system for VANET (Vehicular Ad-hoc Networks) in urban environments named DIFTOS (Distributed Infrastructure-Free Traffic Optimization System), in which the city map is divided into a hierarchy of servers. The vehicles that are located in the busy road intersections play the role of servers, thus DIFTOS does not rely on any centralized server and does not need internet connectivity or RSU or any kind of infrastructure. As far as we know, in the literature of congestion avoidance using VANET, DIFTOS is the first completely infrastructure-free congestion avoidance system. The effectiveness and scalability of DIFTOS have been proved by simulation under different traffic conditions.

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A Bandwidth-Efficient Dissemination Scheme of Non-Safety Information in Urban VANETs

Cited by 2 publications

References 15 publications

INRISCO: INcident monitoRing in Smart COmmunities

INRISCO: INcident monitoRing in Smart COmmunities

DIFTOS: A Distributed Infrastructure-Free Traffic Optimization System Based on Vehicular Ad Hoc Networks for Urban Environments

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