Relay of multi-hop safety message based on beaconing in VANET

Peksen, Yavuz; Acarman, Tankut

doi:10.1109/icves.2012.6294307

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…This criterion is used to maximize the progress of the node and minimize the number of rebroadcast. Example protocols are Min-Te et al (2000), Korkmaz et al (2004), Fasolo et al (2006), Mariyasagayam et al (2007), Peksen and Acarman (2012) and Yoonyoung and Meejeong (2012).…”

Section: Methodsmentioning

confidence: 99%

“…In neighborhood awareness approach, beacon messages are being exchanged to collect necessary information about vehicles in certain neighborhood (Tonguz et al, 2007;Hao et al, 2008;Sebastian et al, 2010;Peksen and Acarman, 2012). Beacon messages are short messages, contain information about the vehicle such as velocity, location, ID.…”

Section: Neighborhood Awareness Broadcasting Protocolsmentioning

confidence: 99%

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Survey on Broadcasting in VANETs

Ahmed¹,

Ariffin²,

Fisal³

et al. 2014

RJASET

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This study aims to evaluate, categorize and compare the Vehicular Ad-hoc Network (VANET) broadcasting protocols. Massive amount of VANET broadcasting protocols have been proposed in the literature. Aiming efficiency, reliability, scalability and reach-ability each of them adopts certain techniques to provide a certain level of functionality. This study distinguishes the VANET routing protocols in several categorizes according to the applications it may serve. By focusing into broadcasting protocols, the study further divides the reviewed algorithms according to the techniques they used to initiate the communication, which would be either through beaconing, handshaking, or instant broadcasting. These protocols are further classified according to the criteria that have been used to select the next forwarder. The criteria usually influenced by the targeted performance of the technique. Such criteria may include furthest node from the sender, the node with the best link quality, endanger nodes, nodes with high probability of forwarding and backbone nodes. Performance metrics that are used for quantitative evaluation are suggested.

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Section: Methodsmentioning

confidence: 99%

Section: Neighborhood Awareness Broadcasting Protocolsmentioning

confidence: 99%

Survey on Broadcasting in VANETs

Ahmed¹,

Ariffin²,

Fisal³

et al. 2014

RJASET

View full text Add to dashboard Cite

show abstract

“…In cluster-oriented broadcast methods [4][5][6], the next relay is an identified node (either mobile or fixed). In transmitter-oriented broadcast systems, the transmitting vehicle selects the next relay based on exchanged information of neighbors [7][8][9][10][11][12][13][14]. In reciever-oriented broadcast systems, each receiving vehicle decides how to behave, rebroadcast the received message, or remain silent [15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…Our work is motivated by the observation that the majority of existing schemes use a static transmission range for vehicle to vehicle communication [4,5,[7][8][9][10][11][12][13][14][15][16][19][20][21][22]. The existing schemes that use transmission range adaptive protocols, to the best of our knowledge, consider only the vehicle density to adjust the transmission power and they do not take spatial distribution of vehicles into account [30,31].…”

Section: Introductionmentioning

confidence: 99%

Smart Fuzzy Logic-Based Density and Distribution Adaptive Scheme for Efficient Data Dissemination in Vehicular Ad Hoc Networks

Limouchi

Mahgoub

2020

Electronics

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In vehicular Ad Hoc Networks (VANETs), smart data dissemination is crucial for efficient exchange of traffic and road information. Given the dynamic nature of VANET, the challenge is to design an adaptive multi-hop broadcast scheme that achieves high reachability while efficiently utilizing the bandwidth by reducing the number of redundant transmissions. In this paper, we propose a novel intelligent fuzzy logic based density and distribution adaptive broadcast protocol for VANETs. The proposed protocol estimates the spatial distribution of vehicles in the network employing the Nearest Neighbor Distance method, and uses it to adapt the transmission range to enhance reachability. To reduce packet collisions, the protocol intelligently adapts the contention window size to the network density and spatial distribution. Bloom filter technique is used to reduce the overhead resulting from the inclusion of the neighbor IDs in the header of the broadcast message, which is needed in identifying the set of potential rebroadcasting vehicles. Our simulation results confirmed the effectiveness of the proposed scheme in enhancing reachability while efficiently utilizing bandwidth.

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“… Distance-based: The distance-based methods are semantically different from the distancedependent forwarding which is used in our work. In distance-based methods, the relative distance is used to choose the next forwarding vehicle, which is the farthest vehicle from the source [41,[60][61][62][63][64][65]. There are two main drawbacks with existing distance-based methods.…”

Section: Multi-hop Situational Awareness Through Network-aware Doublementioning

confidence: 99%

Situational Awareness Enhancement for Connected and Automated Vehicle Systems

Sarvestani¹

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Recent developments in the area of Connected and Automated Vehicles (CAVs) have boosted the interest in Intelligent Transportation Systems (ITSs). While ITS is intended to resolve and mitigate serious traffic issues such as passenger and pedestrian fatalities, accidents, and traffic congestion; these goals are only achievable by vehicles that are fully aware of their situation and surroundings in real-time. Therefore, connected and automated vehicle systems heavily rely on communication technologies to create a real-time map of their surrounding environment and extend their range of situational awareness. In this dissertation, we propose novel approaches to enhance situational awareness, its applications, and effective sharing of information among vehicles. The communication technology for CAVs is known as vehicle-to-everything (V2x) communication, in which vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) have been targeted for the first round of deployment based on dedicated short-range communication (DSRC) devices for vehicles and roadside transportation infrastructures. Wireless communication among these entities creates self-organizing networks, known as Vehicular Ad-hoc Networks (VANETs). Due to the mobile, rapidly changing, and intrinsically error-prone nature of VANETs, traditional network architectures are generally unsatisfactory to address VANETs fundamental performance requirements. Therefore, we first investigate imperfections of the vehicular communication channel and propose a new modeling scheme for large-scale and small-scale components of the communication channel in dense vehicular networks. Subsequently, we introduce an innovative method for a joint modeling of the situational awareness and networking components of CAVs in a single framework. Based on these two models, we propose a novel network-aware broadcast protocol for fast broadcasting of information over multiple hops to extend the range of situational awareness. Afterward, motivated by the most common and injury-prone pedestrian crash scenarios, we extend our work by proposing an end-to-end Vehicle-to-Pedestrian (V2P) framework to provide situational awareness and hazard detection for vulnerable road users. Finally, as humans are the most spontaneous and influential entity for transportation systems, we design a learning-based driver behavior model and integrate it into our situational awareness component. Consequently, higher accuracy of situational awareness and overall system performance are achieved by exchange of more useful information.

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Relay of multi-hop safety message based on beaconing in VANET

Cited by 7 publications

References 7 publications

Survey on Broadcasting in VANETs

Survey on Broadcasting in VANETs

Smart Fuzzy Logic-Based Density and Distribution Adaptive Scheme for Efficient Data Dissemination in Vehicular Ad Hoc Networks

Situational Awareness Enhancement for Connected and Automated Vehicle Systems

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