MoVES: A framework for parallel and distributed simulation of wireless vehicular ad hoc networks

Bononi, Luciano; Felice, Marco Di; D’Angelo, Gabriele; Bracuto, Michele; Donatiello, Lorenzo

doi:10.1016/j.comnet.2007.09.015

Cited by 34 publications

(17 citation statements)

References 26 publications

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“…As a result, computer modeling and simulation will continue to be the primary tools for verifying the research results [17][18]. This is especially true if we have to verify the costs and benefits of a national ITS deployment to convince the government and the general public to invest in the infrastructure.…”

Section: Fig 6 Papr Reduction Of Ofdm Signals By Tr Methodsmentioning

confidence: 96%

An Overview of the DSRC/WAVE Technology

2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

156

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Abstract. Wireless vehicular networks operating on the dedicated short-range communications (DSRC) frequency bands are the key enabling technologies for the emerging market of intelligent transport system (ITS). The wireless access in vehicular environments (WAVE) is significantly different from the Wi-Fi and cellular wireless networking environments. The specifications defined by IEEE802.11P and IEEE1609 represent the most mature set of standards for DSRC/WAVE networks. This paper provides an overview of the current state of the art, and analyses the potential differences between application requirements and what can be offered by the current WAVE solutions. It is shown that the current solutions may be inadequate for large-scale deployment. The primary challenge is to develop scalable, robust, low-latency and highthroughput technologies for safety applications that will significantly reduce collisions and save lives and property loss. Further research ideas are proposed to address this challenge.

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Section: Fig 6 Papr Reduction Of Ofdm Signals By Tr Methodsmentioning

confidence: 96%

An Overview of the DSRC/WAVE Technology

2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

156

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“…Commonly employed models include those by Treiber et al (2000); Krauss et al (1997); Nagel and Schreckenberg (1992). This resulted in public availability of a number of tools specifically dedicated to the simulation of vehicular mobility for network studies, such as FreeSim by Miller and Horowitz (2007), GrooveNet by Mangharam et al (2006), MoVes by Bononi et al (2008), and the City Model by Jaap et al (2005).…”

Section: Evolution Of Software Tools For Mobility Modellingmentioning

confidence: 99%

Mobility Models for Vehicular Communications

Manzoni

Fiore

Uppoor

et al. 2015

Vehicular Ad Hoc Networks

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The experimental evaluation of vehicular ad hoc networks (VANETs) implies elevate economic cost and organizational complexity, especially in presence of solutions that target large-scale deployments. As performance evaluation is however mandatory prior to the actual implementation of VANETs, simulation has established as the de-facto standard for the analysis of dedicated network protocols and architectures. The vehicular environment makes network simulation particularly challenging, as it requires the faithful modelling not only of the network stack, but also of all phenomena linked to road traffic dynamics and radio-frequency signal propagation in highly mobile environments. In this Chapter, we will focus on the first aspect, and discuss the representation of mobility in VANET simulations. Specifically, we will present the requirements of a dependable simulation, and introduce models of the road infrastructure, of the driver's behaviour, and of the traffic dynamics. We will also outline the evolution of simulation tools implementing such models, and provide a hands-on example of reliable vehicular mobility modelling for VANET simulation.

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“…In detail, the distributed simulator does not advance to the next time-step until all simulation activities associated with the current time-step have been completed. Since many communication protocols are based on time slots, the time-stepped approach often facilitates the design and implementation of the related models (Bononi et al, 2008;Liu et al, 2007). …”

Section: Introductionmentioning

confidence: 99%

Distributed simulation of large-scale and detailed models

D’Angelo¹,

Bracuto²

2009

IJSPM

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We present a new approach for the distributed simulation of large-scale and detailed models. Our approach increases the simulator speed jointly addressing two main problems of distributed simulation: the reduction of the communication overhead and the load-balancing in the execution cluster. The proposed method dynamically reconfigures the simulation, considering the performance of each part of the execution architecture. In this way, commercial-off-the-shelf hardware can be used for fast and cost-effective simulations. The performance evaluation, based on the 802.11 DCF protocol, demonstrates that this approach is feasible for the detailed simulation of very large-scale models such as wireless networks.Keywords: simulation; distributed simulation; load balancing; wireless networks.

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MoVES: A framework for parallel and distributed simulation of wireless vehicular ad hoc networks

Cited by 34 publications

References 26 publications

An Overview of the DSRC/WAVE Technology

An Overview of the DSRC/WAVE Technology

Mobility Models for Vehicular Communications

Distributed simulation of large-scale and detailed models

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