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Mobility modeling represents a critical task in mobile wireless networks to improve the overall throughput. This paper evaluates relevant spatial-temporal stochastic properties of the most frequently used synthetic mobility models compared to a new efficient mobility model named Maze Mobility Model (Maze MM). It imitates a real-life movement according to diverse mobility features, as spatial and temporal dependencies with also geographic restrictions. To demonstrate the efficiency of this new model, various metrics were validated such as; the speed decay problem, the density wave phenomenon, the spatial node distribution, the average neighbor percentage, and mobile neighbors range. Each mobility pattern may bear from diverse mobility flaws, as shown by network simulations. So, numerous metrics are employed to describe mobility features. The current research aims to deeply understand mobility features of Maze MM with the aim to deduce a definite judgment of each mobility metric, given that further this fact affects the whole network performances. The validation results are discussed to remark the effectiveness and robustness of Maze MM according to the validated mobility metrics.

Flaws Validation of Maze Mobility Model using Spatial-temporal Synthetic Mobility Metrics