Analysis of Link Life Time in Vehicular Ad Hoc Networks for Free-Flow Traffic State

Shelly, Siddharth; Babu, A. V.

doi:10.1007/s11277-013-1349-8

Cited by 10 publications

(19 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was also found from [15] that exponential distribution is a good approximation of link duration pdf. In [25], a discrete Markov process-based model is proposed for link duration by considering the intervehicle distance, vehicle speed, turning ratios in intersections, and traffic lights.…”

Section: Related Workmentioning

confidence: 94%

Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks

Wang

Chen

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Link duration prediction is one of the most fundamental problems in vehicular ad hoc networks (VANETs) as it determines the network performance of many vehicular applications. Existing analytical analysis about link duration in both mobile ad hoc network (MANETs) and VANETs is too complicated to be applied in a practical setting. Assuming vehicle's velocity follows the normal distribution, we propose a practical model which considers the distribution of relative velocity, intervehicle distance, and impact of traffic lights to estimate the expected link duration between any pair of connected vehicles. Such model is implemented on each vehicle along with (1) a relative velocity estimation approach and (2) an exponential moving average-(EMA-) based data processing procedure. Furthermore, the proposed model assumes that the events of two consecutive vehicles encountering traffic lights combination are dependent, which make the model more practical. Simulation results show that the link duration model predicts link duration with the average accuracy of 10% and 20% in highway and city scenarios, respectively.

show abstract

Section: Related Workmentioning

confidence: 94%

Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks

Wang

Chen

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…In [18,19], it is found that an exponential distribution is a good approximation of the link duration in VANETs. However, [20] presents a different result that the probability density function (pdf) of link duration in a VANET is close to the log-Normal function.…”

Section: Related Workmentioning

confidence: 99%

“…This also applies when < 0, that is, how to compute 0 does not change given > 0 or < 0. [18,40,50] indicate that the speed of a vehicle generally follows Normal distribution. Let us assume that a vehicle's speed V follows Normal distribution V ∼ N( , 2 ).…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

ELDP: Extended Link Duration Prediction Model for Vehicular Networks

Wang

Chen

et al. 2016

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Link duration between two vehicles is considered an important quality of service metric in designing a network protocol for vehicular networks. There exist many works that study the probability density functions of link duration in a vehicular network given various vehicle mobility models, for example, the random waypoint model. None of them, however, provides a practical solution to estimating the link duration between two vehicles on the road. This is in part because link duration between vehicles is affected by many factors including the distance between vehicles, their turning directions at intersections, and the impact of traffic lights. Considering these factors, we propose the extended link duration prediction (ELDP) model which allows a vehicle to accurately estimate how long it will be connected to another vehicle. The ELDP model does not assume that vehicles follow certain mobility models; instead, it assumes that a vehicle's velocity follows the Normal distribution. We validate the ELDP model in both highway and city scenarios in simulations. Our detailed simulations illustrate that relative speed between vehicles plays a vital role in accurately predicting link duration in a vehicular network. On the other hand, we find that the turning directions of a vehicle at intersections have subtle impact on the prediction results.

show abstract

“…Recently, there have been certain attempts to analyse the link duration and link reliability in VANETs [37][38][39][40][41][42]. In [37], Sun et al propose an analytical model for the PDF of link lifetime by assuming equidistant nodes and vehicle speed as Gaussian.…”

Section: Related Workmentioning

confidence: 99%

“…Abboud and Zhuang [41] present a probabilistic analysis of communication link in VANETs for three distinct ranges of vehicle density. In [42], Shelly and Babu present an analysis of link duration in VANETs for the free flow traffic state.…”

Section: Related Workmentioning

confidence: 99%

Link Reliability Based Greedy Perimeter Stateless Routing for Vehicular Ad Hoc Networks

Shelly

Babu

2015

International Journal of Vehicular Technology

Self Cite

View full text Add to dashboard Cite

We propose an enhancement for the well-known greedy perimeter stateless routing (GPSR) protocol for vehicular ad hoc networks (VANETs), which exploits information about link reliability when one-hop vehicles are chosen for forwarding a data packet. In the proposed modified routing scheme, a tagged vehicle will select its one-hop forwarding vehicle based on reliability of the corresponding communication link. We define link reliability as the probability that a direct link among a pair of neighbour vehicles will remain alive for a finite time interval. We present a model for computing link reliability and use this model for the design of reliability based GPSR. The proposed protocol ensures that links with reliability factor greater than a given threshold alone are selected, when constructing a route from source to destination. The modified routing scheme shows significant improvement over the conventional GPSR protocol in terms of packet delivery ratio and throughput. We provide simulation results to justify the claim.

show abstract

Analysis of Link Life Time in Vehicular Ad Hoc Networks for Free-Flow Traffic State

Cited by 10 publications

References 24 publications

Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks

Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks

ELDP: Extended Link Duration Prediction Model for Vehicular Networks

Link Reliability Based Greedy Perimeter Stateless Routing for Vehicular Ad Hoc Networks

Contact Info

Product

Resources

About