IKR Simulation Library

Sommer, Jörg; Scharf, Joachim

doi:10.1007/978-3-642-12331-3_4

Cited by 8 publications

(4 citation statements)

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“…For the simulation experiments, the discrete event simulation environment OMNeT++ [13] is used in conjunction with the Veins framework [26,27]. This is a mobility simulation framework for wireless and mobile networks.…”

Section: Simulation Background and Setupmentioning

confidence: 99%

“…This is a mobility simulation framework for wireless and mobile networks. A beaconing model using IEEE 802.11p was implemented in Veins framework by [26]. All the PHY and MAC properties used in the IEEE 802.11p simulation model conform to [28,29].…”

Section: Simulation Background and Setupmentioning

confidence: 99%

“…Note that these parameters contain the EDCA default values [6][7][8]. The remaining parameters are set according to the default values used by the Veins framework [26].…”

Section: Simulation Scenariomentioning

confidence: 99%

“…Calculation of the detection range (DR) [13,26] based on transmitter power, wavelength, path loss coefficient and a threshold for minimal received power for a communication to take place is shown below.…”

Section: Calculation Of Detection Rangementioning

confidence: 99%

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Exploring efficient seamless handover in VANET systems using network dwell time

Ghosh

Paranthaman

Mapp

et al. 2014

J Wireless Com Network

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Vehicular ad hoc networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular ad hoc networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in vehicular ad hoc network handover techniques. Therefore, in order to have the best practice for vehicular ad hoc network services, it is necessary to have seamless connectivity for optimal coverage and ideal channel utilisation. Due to the high velocity of vehicles and smaller coverage distances, there are serious challenges in providing seamless handover from one roadside unit (RSU) to another. Though other research efforts have looked at many issues in vehicular ad hoc networks (VANETs), very few research work have looked at handover issues. Most literature assume that handover does not take a significant time and does not affect the overall VANET operation. In our previous work, we started to investigate these issues. This journal provides a more comprehensive analysis involving the beacon frequency, the size of beacon and the velocity of the vehicle. We used some of the concepts of Y-Comm architecture such as network dwell time (NDT), time before handover (T BH ) and exit time (ET) to provide a framework to investigate handover issues. Further simulation studies were used to investigate the relation between beaconing, velocity and the network dwell time. Our results show that there is a need to understand the cumulative effect of beaconing in addition to the probability of successful reception as well as how these probability distributions are affected by the velocity of the vehicle. This provides more insight into how to support life critical applications using proactive handover techniques.

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Section: Simulation Background and Setupmentioning

confidence: 99%

Section: Simulation Background and Setupmentioning

confidence: 99%

“…Note that these parameters contain the EDCA default values [6][7][8]. The remaining parameters are set according to the default values used by the Veins framework [26].…”

Section: Simulation Scenariomentioning

confidence: 99%

Section: Calculation Of Detection Rangementioning

confidence: 99%

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