Dynamics of Network Connectivity in Urban Vehicular Networks

Viriyasitavat, Wantanee; Bai, Fan; Tonguz, O.K.

doi:10.1109/jsac.2011.110303

Cited by 95 publications

(52 citation statements)

References 36 publications

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“…Last but not least, due to the social-behavior based mobility, network dynamic, and limited V2V communication range, network partition may happen, resulting in data traffic disconnections among partitions of the network. In the literature, many related work analyzing and enhancing the connectivity of V2V communications can be found [17][18][19][20].…”

Section: V2v Communicationmentioning

confidence: 99%

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Cheng¹,

Shen²

2016

SpringerBriefs in Electrical and Computer Engineering

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Section: V2v Communicationmentioning

confidence: 99%

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Cheng¹,

Shen²

2016

SpringerBriefs in Electrical and Computer Engineering

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“…Note that the message reachability is different from network reachability metric. In other words, while the network reachability measures the maximum number of vehicles that are connected at a given point in time (i.e., a static metric) 3 , message reachability metric is a transitive measure of network reachability [2].…”

Section: A Metricsmentioning

confidence: 99%

“…Successful deployment of vehicular ad hoc networks (VANETs) where information (such as traffic, road information or safety messages) is sent, forwarded, and received by vehicles depends on the adoption of a new wireless technology, namely the Dedicated Short Range Communications (DSRC) technology [2]. During the initial stage of DSRC deployment, two wirelessly-capable vehicles that are not within proximity of each other may communicate through Cellular networks [3], satellite, WiMax, etc.…”

Section: Introductionmentioning

confidence: 99%

“…For example, a simplistic form of RSU (such as Roadway Probe Beacons) requires $13, 000 − 15, 000 per unit capital cost and up to $2, 400 per unit per year 2 for operation and maintenance [4]. In addition to cost, effectiveness and utilization rate of RSUs may also depend on the number of DSRC-equipped vehicles that are present in a given area.…”

Section: Introductionmentioning

confidence: 99%

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Cars as Roadside Units: A Cooperative Solution

Viriyasitavat

Tonguz

2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

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Abstract-The gradual penetration of Dedicated Short Range Communications Radio (DSRC) technology in the years to come is a formidable problem that could adversely effect the implementation of safety and non-safety applications. In this paper, we propose a solution that might mitigate the negative impact of the partial and gradual penetration problem of DSRC technology. The proposed solution is based on a self-organizing network paradigm that draws its inspiration from biological systems, such as social insect colonies [1]. By designing the local rules and a distributed algorithm needed to perform this function, it is shown that DSRC-equipped cars can indeed serve as RSUs. Results show that the message reachability and connectivity in urban vehicular networks can be increased substantially in a cost-effective manner as the proposed approach does not entail deployment of infrastructure-based RSUs.

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“…Vehicular networks have gained considerable research interest recently given their potential in improving public safety and traffic management [1]- [3]. Security is an important component in any vehicular network, and one of the most fundamental security requirements is the ability to establish a secure channel between two arbitrary cars.…”

Section: Introductionmentioning

confidence: 99%

Extracting secret key from wireless link dynamics in vehicular environments

Zhu

Novak

et al. 2013

2013 Proceedings IEEE INFOCOM

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Abstract-A crucial component of vehicular network security is to establish a secure wireless channel between any two vehicles. In this paper, we propose a scheme to allow two cars to extract a secret key from RSSI (Received Signal Strength Indicator) values in such a way that nearby cars cannot obtain the same secret. Our solution can be executed in noisy, outdoor vehicular environments. We also propose an online parameter learning mechanism to adapt to different channel conditions. We conduct extensive realworld experiments to validate our solution.

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Dynamics of Network Connectivity in Urban Vehicular Networks

Cited by 95 publications

References 36 publications

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Cars as Roadside Units: A Cooperative Solution

Extracting secret key from wireless link dynamics in vehicular environments

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