Smooth is better than sharp: a random mobility model for simulation of wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Link Stability and Route Lifetime in Ad-hoc Wireless Networks
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
Proceedings of the 9th annual international conference on Mobile computing and networking
The number of neighbors needed for connectivity of wireless networks
Wireless Networks
Exploring long lifetime routing (LLR) in ad hoc networks
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Stochastic properties of the random waypoint mobility model
Wireless Networks
Spatial Node Distribution of the Random Waypoint Mobility Model with Applications
IEEE Transactions on Mobile Computing
A novel mobility model based on semi-random circular movement in mobile ad hoc networks
Information Sciences: an International Journal
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Effective routing in airborne networks (ANs) relies on suitable mobility models that capture the random movement pattern of airborne vehicles. As airborne vehicles cannot make sharp turns as easily as ground vehicles do, the widely used mobility models for Mobile Ad Hoc Networks (such as Random Waypoint and Random Direction models) fail. In this paper, we introduce a novel AN mobility model, called the Smooth Turn Mobility Model, that captures the correlation of acceleration for airborne vehicles across time and spatial coordinates. The model is realistic in capturing the tendency of airborne vehicles toward making straight trajectory and smooth turns with large radius, and is simple enough for tractable connectivity analysis and routing design. We first describe the mathematics of this model and then prove that the stationary node distribution of this mobility model is uniform.