An analytical model of multihop connectivity of inter-vehicle communication systems

Jin, Wen-Long; Recker, Will

doi:10.1109/twc.2010.01.05545

Cited by 90 publications

(37 citation statements)

References 26 publications

(22 reference statements)

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“…Recently, there were many attempts by the research community to address the connectivity properties of VANETs as well [13][14][15][16][17][18][19][20][21][22][23]. The connectivity analysis of VANETs for both highway and simple road configurations presented in [13] proposed that a fixed transmission range does not adapt to the frequent topology changes in VANETs; but a dynamic transmission range is always required.…”

Section: Related Workmentioning

confidence: 99%

“…Authors of [18] presented connectivity analysis of both one-way and two-way highway scenarios assuming that all vehicles maintain a constant speed. In [19], authors developed an analytical model of multi-hop connectivity of an inter-vehicle communication system. An analytical characterization of the connectivity of VANETs on freeway segments was derived in [20].…”

Section: Related Workmentioning

confidence: 99%

“…For Rician fading channel, the connectivity parameters E[D] and E[N] are obtained by combining (27), (28) and (17) and are given by (27), (28) and (19) and are computed as follows: (27), (28) and (23). The corresponding expressions are given by…”

Section: Connectivity Analysismentioning

confidence: 99%

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Connectivity analysis of one-dimensional vehicular ad hoc networks in fading channels

Chandrasekharamenon

AnchareV

2012

J Wireless Com Network

118

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Vehicular ad hoc network (VANET) is a type of promising application-oriented network deployed along a highway for safety and emergency information delivery, entertainment, data collection, and communication. In this paper, we present an analytical model to investigate the connectivity properties of one-dimensional VANETs in the presence of channel randomness, from a queuing theoretic perspective. Connectivity is one of the most important issues in VANETs to ensure reliable dissemination of time-critical information. The effect of channel randomness caused by fading is incorporated into the analysis by modeling the transmission range of each vehicle as a random variable. With exponentially distributed inter-vehicle distances, we use an equivalent M/G/∞ queue for the connectivity analysis. Assuming that the network consists of a large number of finite clusters, we obtain analytical expressions for the average connectivity distance and the expected number of vehicles in a connected cluster, taking into account the underlying wireless channel. Three different fading models are considered for the analysis: Rayleigh, Rician and Weibull. The effect of log normal shadow fading is also analyzed. A distance-dependent power law model is used to represent the path loss in the channel. Further, the speed of each vehicle on the highway is assumed to be a Gaussian distributed random variable. The analytical model is useful to assess VANET connectivity properties in a fading channel.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Connectivity analysis of one-dimensional vehicular ad hoc networks in fading channels

Chandrasekharamenon

AnchareV

2012

J Wireless Com Network

118

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“…In [10], authors present an analytical model for multi-hop connectivity of IVC in a traffic stream, in which positions of vehicles are no longer described by certain geometric distributions, but through observations, traffic simulators or traffic theories. They derive a recursive model of node and hop probabilities and define a number of performance measures of multi-hop connectivity.…”

Section: Introductionmentioning

confidence: 99%

Logical Connectivity Prediction Models for VANET based on Nonlinear Regression and ELM: An Example of the AODV Protocol

Liu

Yang

Ding³

et al. 2014

IJFGCN

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“…The motivation for our work derives from previous studies that suggest the importance of examining the impacts of mobility patterns and transportation network configurations on vehicular communications. The work by [1] suggests these factors can significantly impact multi-hop connectivity with vehicular communications in both uniform and non-uniform traffic streams. As such, we explore the impacts of network environment on highways with different lane configurations and mobility patterns on the performance of multi-hop broadcasting.…”

Section: Introductionmentioning

confidence: 99%

Multi-Hop Broadcasting in Vehicular Ad Hoc Networks with Shockwave Traffic

Chen

Jin

Regan

2010

2010 7th IEEE Consumer Communications and Networking Conference

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Abstract-A primary goal of intelligent transportation systems (ITS) is to improve road safety. The ability for vehicles to communicate is a promising way to alleviate traffic accidents by reducing the response time associated with human reaction to nearby drivers. In addition the limitations of standard driving can be overcome by providing drivers with instantaneous information about complications up ahead. Shockwaves, induced by vehicle speed differentials, are a typical mobility pattern that occurs with the formation and propagation of vehicle queues. These induce sudden braking and increase the occurrence of traffic incidents. In this paper, we investigate safety applications in highways with shockwave mobility and different lane configurations in vehicular ad hoc networks (VANET). We evaluate the performance of multi-hop broadcast communication using the ns-2 simulator with vehicles following a shockwave mobility pattern in fully-connected traffic streams. We propose mechanism to improve broadcast reliability using dynamic transmission range that leverages our understanding of fundamental traffic flow relationships.

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An analytical model of multihop connectivity of inter-vehicle communication systems

Cited by 90 publications

References 26 publications

Connectivity analysis of one-dimensional vehicular ad hoc networks in fading channels

Connectivity analysis of one-dimensional vehicular ad hoc networks in fading channels

Logical Connectivity Prediction Models for VANET based on Nonlinear Regression and ELM: An Example of the AODV Protocol

Multi-Hop Broadcasting in Vehicular Ad Hoc Networks with Shockwave Traffic

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