Rapid Generation of Realistic Mobility Models for VANET

Karnadi, F.K.; Mo, Zhi Hai; Lan, Kun-Chan

doi:10.1109/wcnc.2007.467

Cited by 324 publications

(153 citation statements)

References 6 publications

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“…6). For instance, MOVE [27] contains a single graphical user interface for the confi guration the mobility modeling and network simulation. However, MOVE does not itself include a network simulator, but simply parses realistic mobility traces extracted from a micro-motion model SUMO [26] into a network simulator-dependant input trace format, then generates the appropriate scripts to be loaded by the network simulator.…”

Section: Mobility Models and Network Simulators: The Nonspeaking Talkmentioning

confidence: 99%

See 1 more Smart Citation

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Härri

Filali

Bonnet

2009

IEEE Commun. Surv. Tutorials

627

304

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Vehicular Ad-hoc Networks (VANETs) have been recently attracting an increasing attention from both research and industry communities. One of the challenges posed by the study of VANETs is the definition of a generic mobility model providing an accurate, realistic vehicular mobility description at both macroscopic and microscopic levels. Today, most mobility models for vehicular studies only consider a limited macro-mobility, involving restricted vehicles movements, while little or no attention is paid to micro-mobility and its interaction with the macro-mobility counterpart. On the other hand, the research community cannot have access to realistic traffic generator which have not been designed to collaborate with network simulators. In this paper, we first introduce a classification of existing methods for the generation of vehicular mobility models, then we describe the various approaches used by the community for realistic VANET simulations. Finally, we provide an overview and comparison of a large range of mobility models proposed for vehicular ad hoc networks.

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Section: Mobility Models and Network Simulators: The Nonspeaking Talkmentioning

confidence: 99%

“…The Mobility Model Generator for Vehicular Networks (MOVE) was recently presented [27]. It is a simple parser for the SUMO and enhances SUMO's complex confi guration with a nice and effi cient GUI.…”

Section: Taxonomy Of Synthetic Vehicular Modelsmentioning

confidence: 99%

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Härri

Filali

Bonnet

2009

IEEE Commun. Surv. Tutorials

627

304

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“…In the literature, several simulators have been designed for the simulation of a street context where others are dedicated to represent highway or grid city model [24], [25], [26], [27], [28], [29]. As, we consider a unidirectional highway, we have developed our own vehicular traffic simulator to represent node movements in a realistic way.…”

Section: Simulation Scenarios and Numerical Resultsmentioning

confidence: 99%

On the Scalability Problem of Highway Ad Hoc Network

Kaisser

2009

2009 IEEE Wireless Communications and Networking Conference

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Abstract-Vehicular Ad hoc Network in a highway is composed of high speed vehicles or nodes which induce fast topology changes in their configuration. In order to solve the connectivity and scalability problems of VANETs, we introduce the architecture of a Vehicular hybrid ad hoc network (VHANET). Using some routing protocol extensions, the VHANET allows ad hoc islands to be interconnected among each other using a infrastructure network. Our simulation results show that the performances, compared to a flat network, are greatly enhanced. In addition, we study a nearly optimal AP density for the use of our architecture.I. VEHICULAR AD HOC NETWORKS AND ROUTING Vehicular Network is a new capability for drivers to enhance safety on roads and then, to provide Internet access services. Vehicular Networks can be formed either by deployment of a telecommunication network infrastructure or by using Ad Hoc communications between vehicles. In the first case, some access points are distributed along the road, each one connected to other through a wired network allowing the vehicles to connect to the AP (Access Point). The main drawbacks of a complete road coverage are prohibitive costs and inefficient use in case of light traffic. On the other hand, a Vehicular Ad Hoc Network (VANET) is a special kind of Mobile Ad-Hoc Networks (MANET), where vehicles equipped with wireless devices constitute a network without any additional infrastructure.In VANET [1], the vehicles act both as hosts and routers, being either packets source, destination or forwarder. VANET networks can be used for two kinds of applications: safety applications like alert diffusion, road foreseen, and user oriented applications like Internet access, VoIP, file transfers or advertising services. Both types of applications have different constraints in terms of delay, bandwidth and reliability. For user oriented applications, data rate will usually be greater than for safety applications. Safety applications are mainly interested with reliability and delay guarantee. Moreover, we consider safety and user-oriented applications which use unicast communications. For these unicast communications, a routing protocol is required. MANET routing protocols were designed to establish paths even with a dynamic network topology. With VANET, the difficulty comes from the nodes high mobility because the paths have to be more often established and a lot of signaling messages are broadcasted. The second problem comes from the convergence delay which has to be less than the topology change interval in order to achieve an accurate routing process.For these main reasons, several studies have shown that it is not reasonable to use a proactive routing protocol for VANET where the vehicles speed implies a highly dynamic topology. In contrast, either reactive or geographical protocols are more robust to frequent topology changes. Particular routing techniques are thus studied for the VANET [1], [2] but other studies has demonstrated that DSR (Dynamic Source Routing, a reactive ad hoc p...

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“…The vehicular traffic simulator is a synthetic model integrating basic microscopic motions where drivers may be in one of the following four modes: free driving, approaching, following, braking. MOVE [3] contains a single graphical user interface for the configuration the mobility modeling and network simulation. However, MOVE does not itself include a network simulator, but simply parses realistic mobility traces extracted from a micro motion model SUMO [4] into a network simulator dependent input trace format, then generates the appropriate scripts to be loaded by the network simulator.…”

Section: Related Workmentioning

confidence: 99%

Simulators for VANET

Nampally¹

2017

IJRASET

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VANET system would behave under different conditions.It is known that networking and mobility component are required to form a VANET. Continuous increased of on-road vehicles has also increased the possibility of accidents, most of it caused by human errors. Hence, a solution has been proposed, which is to make vehicles more intelligent through research on vehicular ad hoc networks (VANETs). Researchers and developers have built VANET simulation software to allow the study and evaluation of various media access, routing, and emergency warning protocols. MATLAB and Simulation of Urban Mobility (SUMO) are further used for VANET simulation respectively. At the same time, TraCI4Matlab, an Application Programming Interface (API) developed in MATLAB that allows communication between any applications written in MATLAB and SUMO simulator is also discussed. Absence of road traffic safety takes a toll of precious human lives and poses a dire threat to our environment as well. Moreover, we present results of our proposed algorithm secure key exchange in NS2 simulator. Keywords: VANET, Simulator, Taxonomy, Attraction point, Lane Changing, Topology and GUI. I. INTRODUCTIONVehicular Ad-hoc Networks (VANETs) represent a rapidly emerging, particularly challenging class of Mobile Ad Hoc networks (MANETs). On a highway a vehicle cannot currently predict the speed of other vehicles. However, with use of sensor, computer and wireless communication equipment, speed could be predicted and a warning message sent every 0.5 seconds could limit the risk of potential accidents. An automated tool called simulation can imitate the protocol and yield a similar result to that of the real world. Simulator tool has been preferred over outdoor experiment because it simple, easy and cheap. VANET requires that a traffic and network simulator should be used together to perform this test. Prior to the implementation of VANETs on the roads, realistic simulations of VANETs using simulators are necessary. It is a technique whereby a software program models the behavior of a network either by calculating the interaction between the different network entities (routers, switches, nodes, access points, links etc.). Users customize the simulator to fulfill their specific analysis needs. Most simulators use discrete event simulation i.e. the modelling of systems in which state variables change at discrete points in time. The behavior of the network and the various applications and services it supports can then be observed in a test lab; various attributes of the environment can also be modified in a controlled manner to assess how the network / protocols would behave under different conditions. We have classified existing VANET simulation software into three different categories. They are (a) vehicular mobility generators, (b) network simulators, and (c) VANET simulators. This paper presents a comprehensive study and comparisons of the various publicly available VANET simulation software and their components and we see secure key exchange results w...

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Rapid Generation of Realistic Mobility Models for VANET

Cited by 324 publications

References 6 publications

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Mobility models for vehicular ad hoc networks: a survey and taxonomy

On the Scalability Problem of Highway Ad Hoc Network

Simulators for VANET

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