Realistic mobility simulation of urban mesh networks

Abstract

It is a truism that today's simulations of mobile wireless networks are not realistic. In realistic simulations of urban networks, the mobility of vehicles and pedestrians is greatly influenced by the environment (e.g., the location of buildings) as well as by interaction with other nodes. For example, on a congested street or sidewalk, nodes cannot travel at their desired speed. Furthermore, the location of streets, sidewalks, hallways, etc. restricts the position of nodes, and traffic lights impact the flow of nodes. And finally, people do not wander the simulated region at random, rather, their mobility depends on whether the person is at work, at lunch, etc. In this paper, realistic simulation of mobility for urban wireless networks is addressed. In contrast to most other mobility modeling efforts, most of the aspects of the presented mobility model and model parameters are derived from surveys from urban planning and traffic engineering research. The mobility model discussed here is part of the UDel Models, a suite of tools for realistic simulation of urban wireless networks. The UDel Models simulation tools are available online.

Mobility Models for Vehicular Communications

“…The latter were again mostly borrowed from the transportation research literature: common examples are those of the models proposed by Krauss (1998); Treiber and Helbing (2002) ;Nagel et al (1998). Among the most popular vehicular mobility simulation tools that also include such models, we can mention STRAW by Choffnes and Bustamante (2005), GMSF by Baumann et al (2008), Udel Models by Kim et al (2009), CityMob by Martinez et al (2008), VanetMobiSim by Härri et al (2011), and SUMO by Krajzewicz et al (2012).…”

Multicast scheduling for scalable video streaming in wireless networks

“…These nodes are restricted to move on a grid of streets, as described in the first mobility scenario. Their desired speeds are uniformly distributed in the interval [5,20] m/s. They might have to slow down due to platooning (carfollowing model) and to stop at traffic lights.…”

“…In our simulations 80% of the pedestrian nodes are working and 20% are nonworking persons. More details on the UDel mobility models are provided in [19,20]. The walking speeds of pedestrian nodes are drawn from a uniform distribution in [0.7, 1.8] m/s.…”

“…The nodes move on a map that represents a part of Chicago's downtown area. Pedestrians move according to the UDel mobility model [19,20], which was developed based on empirical data on human mobility. They initially appear at random residential locations, and move according to their activity models.…”

Enabling wireless cooperation in user provided networks

“…UDelModels [Kim et al, 2009] is a suite of tools for simulating urban mesh networks that includes a simulator of realistic urban mobility. The mobility simulator is able to simulate daily life pedestrian dynamics (e.g.…”