A Smooth-turn Mobility Model for Airborne Networks Page: 30
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CHAPTER 5
VARIANTS OF THE ST MOBILITY MODEL
In this chapter, let us also discuss possible variants and enhancement for the ST mobility
model.
5.1. Enhanced Modeling of Model Parameters
This basic ST mobility model can be easily generalized to include varying forward speed,
3D movements, etc. Airborne vehicles typically has the minimum turning radius for safety reasons.
To capture this realistic issue, instead of roughly modeling r as a Gaussian variable, we can provide
a more detailed model for r, and require r to reside within certain safe range [ro, o] and [-oo, -ro].
All of the above enhancements do not change the distributions of node locations and directions.
For the purpose of clear presentation, we do not include these variations in the model analysis, but
realize that these new features can be easily added.
5.2. Collision Avoidance
In the current mobility model, we assume that each vehicle moves independently from
each other. However, neighboring airborne vehicles need to satisfy safe separation distance, and
therefore proper collision avoidance needs to be included. As collision avoidance is not the focus
of this thesis, we will leave this development to the further work. However, it is worthwhile to note
that as the centripetal and tangential accelerations are directly captured in the mobility model, this
model has the natural capability of incorporating control mechanisms for collision avoidance (see
[6] for a related implementation).
5.3. RWP-like ST Mobility Model
The current ST mobility model resembles the RD model equipped with smooth trajectory.
We can similarly develop RWP-like ST mobility models. Possible strategies include: 1) randomly
choosing a center which satisf es the smooth trajectory requirement and is uniformly distributed in
the region, and circling around it for an exponential duration, before choosing another center; 2)
randomly choosing a destination uniformly distributed in the region and reaching it through smooth30
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He, Dayin. A Smooth-turn Mobility Model for Airborne Networks, thesis, August 2012; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc149603/m1/36/: accessed April 19, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .