Mobility models represent the movement of mobile users, and how their location, velocity and acceleration change over time. Such models are frequently used for simulation purposes when new communication or navigation techniques are investigated. Mobility management schemes for mobile communication systems make use of mobility models for predicting future user positions.
In the study of a new Mobile ad hoc network protocol, it is important to simulate the protocol and evaluate its protocol performance. Protocol simulation has several key parameters, including mobility model and communicating traffic pattern.[1] Mobility models characterize user movement patterns, i.e. the different behaviors of subscribers. Traffic models describe the condition of the mobile services.
For mobility modelling, the behaviour or activity of a user’s movement can be described using both analytical and simulation models. The input to analytical mobility models are simplifying assumptions regarding the movement behaviors of users. Such models can provide performance parameters for simple cases through mathematical calculations. In contrast, simulation models consider more detailed and realistic mobility scenarios. Such models can derive valuable solutions for more complex cases. Typical mobility models include
- Brownian model
- random waypoint model
- random walk model
- random direction model
- random Gauss-Markov model
- Markovian model
- incremental model,
- mobility vector model
- reference point group model (RPGM)
- pursue model
- nomadic community model
- column model
- fluid flow model
- exponential correlated random model
- map based model
and others