Connectivity Model for Mobile Ad-Hoc Networks

We propose a probabilistic connectivity model suitable for imitating link connectivity in large mobile ad hoc networks. The model is based on a two state Markov chain and captures the vital aspects that successive connectivity states exhibits dependence, and that link connectivity is a function of distance between transmitter and receiver. The maximum likelihood estimator is used to estimate parameters from measurement data. The model is found to outperform the common fixed range connectivity model.