Towards realistic mobility models for mobile ad hoc networks

By Amit P. Jardosh, Elizabeth M. Belding-Royer, Kevin C. Almeroth, Subhash Suri. ACM/IEEE International Conference on Mobile Computing and Networking, 2003

719 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2b37ed78bb948dfb08790c309289df8bda3a142e

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Single-copy routing in intermittently connected mobile networks (2004, methodology): “Simulation results are also given for the random waypoint model [21], and, in future work, we plan to experiment with additional mobility models [22], [23].”
An integrated mobility and traffic model for vehicular wireless networks (2005, background): “Due to the effect of mobility models on network performance, many researchers have developed alternative mobility models that include features such as group mobility [11] and obstacles [12].”
A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks (2016, neutral): “[49], 3) Geographic Mobility Model [50], [51].”
Performance analysis of mobility-assisted routing (2006, background): “Although there exist some efforts to create more accurate mobility models [3, 22, 37], a lot of these models are quite complicated and/or tailored to specific scenarios, making them difficult to be used in theoretical studies.”
Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding (2005, neutral): “Modeling : Much of the work in DTN and MANET s concerns the modeling of mobility or location [6, 7].”
Topology control in wireless ad hoc and sensor networks (2005, background): “A third instance of map-based mobility is the Obstacle mobility model introduced in (Jardosh et al. 2003).”
SLAW: A New Mobility Model for Human Walks (2009, background): “Thus, it lacks the regular patterns present in daily human walks.”
On the validity of geosocial mobility traces (2013, background): “Categories and Subject Descriptors H.1.2 [Information Systems]: Human factors General Terms Human Factors, Measurement Keywords Location based social networks, Measurement, Mobility”
"Will Check-in for Badges": Understanding Bias and Misbehavior on Location-Based Social Networks (2021, methodology): “To date, researchers have relied on mobility models (Johnson and Maltz 1996; Jardosh et al. 2003), geotagged data via IP addresses ( e.g. , Wikipedia), or user check-in data available via APIs ( e.g. , Foursquare) (Cheng et al. 2011; Noulas and others 2011; Sen and others 2015; Hecht and Stephens…”
A SURVEY OF MOBILITY MODELS in Wireless Adhoc Networks (2004, background): “Jardosh, Belding-Royer and Almeroth et al.[20] also investigate the impact of obstacles on mobility modeling in details.”
Modeling mobility for vehicular ad-hoc networks (2004, background): “As mentioned earlier, this model can be made even more realistic by introducing obstacles into the model which restrict wireless transmission [13].”
Extracting a Mobility Model from Real User Traces (2006, background): “propose a random-walk model that incorporates obstacles [18].”
Vehicular Mobility Simulation for VANETs (2007, result): “This approach is similar to that proposed in [ 10 ], but we also consider the presence of areas with different road densities which we refer to as clusters.”
Perfect simulation and stationarity of a class of mobility models (2005, background): “This leads to examples such as city driving models (“Space Graph" [9], “City section" or “Hierarchical random waypoint", called “restricted random waypoint" in [3]), simple airplane circulation models (“Random Waypoint on Sphere"), or the special purpose “Fish in a Bowl" and “Swiss Flag".”
Localization with mobile anchor points in wireless sensor networks (2005, methodology): “2) Obstacle Environment: The obstacle mobility (OM) model was used for the environment with obstacles [ 34 ].”