Stationarity for the Small World in Motion Mobility Model
Nils Aschenbruck, Hanna Döring, Christian Heiden, Matthias Schwamborn · 2019
Human mobility has been shown to have significant impact on the performance of Opportunistic Networks. For reliable performance evaluation, it is important to make sure the models used are in steady state. The mobility model Small World In Motion (SWIM) incorporates statistical properties of human movements in its results and is, at the same time, easy to configure. However, SWIM is not in steady state. In this paper, we show how a steady state for SWIM can be achieved.