Perfect Simulations for Random Trip Mobility Models

The random trip model was recently proposed as a generic mobility model that contains many particular mobility models, including the widely-known random waypoint and random walks, and accommodates more realistic scenarios. The probability distribution of the movement of a mobile in all these models typically varies with time and converges to a “steady state" distribution (viz. stationary distribution), whenever the last exists. Protocol performance during this transient phase and in steady-state may differ significantly. This justifies the interest in perfect sampling of the initial node mobility state, so that the simulation of the node mobility is perfect, i.e. it is in steady state throughout a simulation. In this work, we describe implementation of the perfect sampling for some random trip models. Our tool produces a perfect sample of the node mobility state, which is then used as input to the widelyused ns-2 network simulator. We further show some simulation results for ...

• Type: Conference
• Year: 2005
• Where: ANSS
• Authors: Santashil PalChaudhuri, Jean-Yves Le Boudec, Milan Vojnovic
• Keywords: ANSS 2005, Mobility Model, Node Mobility, Node Mobility State