Proceedings of the 3rd ACM International Workshop on Wireless Mobile Applications and Services on WLAN Hotspots 2005
DOI: 10.1145/1080730.1080749
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- The random waypoint city model -

Abstract: In this paper we present a new mobility model for mobile network simulations and evaluate user distributions in a real topology using different parameters.

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Cited by 39 publications
(4 citation statements)
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“…The simulations were carried out with a set of 100 nodes deployed over an area of 950m×800m, moving according to the Random Waypoint Mobility model (RWM) (Kraaier and Killat, 2005); this model makes it possible to randomly move the nodes in the network.…”
Section: Simulation Parametersmentioning
confidence: 99%
“…The simulations were carried out with a set of 100 nodes deployed over an area of 950m×800m, moving according to the Random Waypoint Mobility model (RWM) (Kraaier and Killat, 2005); this model makes it possible to randomly move the nodes in the network.…”
Section: Simulation Parametersmentioning
confidence: 99%
“…However, it has been shown that, in addition to their disparate modelling of human behaviour, synthetic mobility models typically bias node distribution and speed in a nonnatural way [1,14]. Limitations of the RWP have been addressed, for example in [3,[15][16][17][18].…”
Section: Mobility Modelsmentioning
confidence: 99%
“…The random-waypoint-city model [22] realizes vehicular traffic in urban environments. Therefore, road maps including speed informations and crossroads are retrieved.…”
Section: Map-based Approachesmentioning
confidence: 99%