Realistic individual mobility Markovian models for mobile Ad hoc networks

Mobility Models try to represent the movement behavior of devices in Mobile Ad hoc Networks. These models are used in performance evaluation of applications and communication systems, allowing the analysis of the mobility's impact. In this context, two individual mobility models for Mobile Ad hoc Networks are proposed in this paper. These models were based in [1] and intend to represent a wider movement capability. Using the proposed models it is possible to move in the same direction, in adjacent directions, to accelerate and to stop, avoiding sharp turns and sudden stops. This way, it Is tried a closer representation to the real movement of the users in urban enviroments and roads. In this paper, the models are described analytically by Markov Chains. Besides that, some comparisions between the proposed models, the Waypoint model and the Random Walk model are presented through the use of simulations*.