Analytical Model for Connectivity in Vehicular Ad Hoc Networks

Yousefi, Saleh; Altman, Eitan; El-Azouzi, Rachid; Fathy, Mahmood

doi:10.1109/tvt.2008.2002957

Cited by 304 publications

(238 citation statements)

References 23 publications

Supporting

Mentioning

234

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

Section: V2v Communicationmentioning

confidence: 99%

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Cheng¹,

Shen²

2016

SpringerBriefs in Electrical and Computer Engineering

View full text Add to dashboard Cite

“…WS model, the clustering coefficient is high; however, the degree distribution of the nodes does not conform to the real networks. [15][16][17][18] The classic research on the complex network indicated that the most networks showed power-law degree distribution, defined as BA scale-free network model. 19 Due to the growth and preferential attachment are proximate to the growth of many networked system in real world, we propose the BA scale-free network model as the network morphology of the new network model in this paper.…”

Section: A Traffic Operation In Connected Vehicle Environment and V2mentioning

confidence: 99%

“…Complex network can describe the evolution mechanisms and statistical properties of systems based on statistical physics and graph theory. Studies on the real complex networks [12][13][14][15] indicated that the most networks are characterized by power-law degree distributions.…”

Section: Introductionmentioning

confidence: 99%

Modeling and dynamical topology properties of VANET based on complex networks theory

Zhang

2015

AIP Advances

View full text Add to dashboard Cite

Vehicular Ad hoc Network (VANET) is a special subset of multi-hop Mobile Ad hoc Networks in which vehicles can not only communicate with each other but also with the fixed equipments along the roads through wireless interfaces. Recently, it has been discovered that essential systems in real world share similar properties. When they are regarded as networks, among which the dynamic topology structure of VANET system is an important issue. Many real world networks are actually growing with preferential attachment like Internet, transportation system and telephone network. Those phenomena have brought great possibility in finding a strategy to calibrate and control the topology parameters which can help find VANET topology change regulation to relieve traffic jam, prevent traffic accident and improve traffic safety. VANET is a typical complex network which has its basic characteristics. In this paper, we focus on the macroscopic Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) inter-vehicle communication network with complex network theory. In particular, this paper is the first one to propose a method analyzing the topological structure and performance of VANET and present the communications in VANET from a new perspective. Accordingly, we propose degree distribution, clustering coefficient and the short path length of complex network to implement our strategy by numerical example and simulation. All the results demonstrate that VANET shows small world network features and is characterized by a truncated scale-free degree distribution with power-law degree distribution. The average path length of the network is simulated numerically, which indicates that the network shows small-world property and is rarely affected by the randomness. What’s more, we carry out extensive simulations of information propagation and mathematically prove the power law property when γ > 2. The results of this study provide useful information for VANET optimization from a macroscopic perspective.

show abstract

“…In [12], connectivity requirements in terms of required penetration rate (number of nodes equipped with communication devices) and transmission power for dissemination of time-critical information in a one-way or two-way VANET are derived while taking important physical-layer parameters, such as fading, propagation path loss, transmit power, and transmission data rate, into consideration. Another approach proposed in [13] which applies the exponential inter-arrival time distribution between vehicles in order to obtain the inter-vehicle distance distribution and, accordingly, to derive explicit expression for the expected connectivity distance. In [14], two idealized mobility models for vehicular mobility were described, namely, Freeway model and Manhattan model.…”

Section: B Medium Access Control and Downlink Schedulingmentioning

confidence: 99%

A Mobility-Aware and Quality-Driven Retransmission Limit Adaptation Scheme for Video Streaming over VANETs

Asefi

Mark

Shen

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

View full text Add to dashboard Cite

Abstract-An adaptive medium access control (MAC) retransmission limit selection scheme is proposed to improve the performance of IEEE 802.11p standard MAC protocol for video streaming applications over vehicular ad-hoc networks (VANETs). A multi-objective optimization framework, which jointly minimizes the probability of playback freezes and start-up delay of the streamed video at the destination vehicle by tuning the MAC retransmission limit with respect to channel statistics as well as packet transmission rate, is applied at road side unit (RSU). Periodic channel state estimation is performed at the RSU using the information derived from the received signal strength (RSS) and Doppler shift effect. Estimates of access probability between the RSU and the destination vehicle is incorporated in the design of the adaptive MAC scheme. The adaptation parameters are embedded in the user datagram protocol (UDP) packet header. Two-hop transmission is applied in zones in which the destination vehicle is not within the transmission range of any RSU. For multi-hop scenario, we discuss two-hop joint MAC retransmission adaptation and path selection. Compared with the non-adaptive IEEE 802.11p standard MAC, numerical results show that the proposed adaptive MAC protocol exhibits significantly fewer playback freezes while introduces only a slight increase in start-up delay.Index Terms-VANETs, video streaming, multi-objective optimization, MAC retransmission limit adaptation.

show abstract

Analytical Model for Connectivity in Vehicular Ad Hoc Networks

Cited by 304 publications

References 23 publications

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Opportunistic Spectrum Utilization in Vehicular Communication Networks

Modeling and dynamical topology properties of VANET based on complex networks theory

A Mobility-Aware and Quality-Driven Retransmission Limit Adaptation Scheme for Video Streaming over VANETs

Contact Info

Product

Resources

About