Abstract
This paper presents an overview of some recent approaches to modeling communication systems with a focus on dynamical effects. The paper focuses on models of communication between agents using multiple layers of protocols, with examples practical scenarios in wireless Peer-to-Peer communications. The first topic is analysis of behavior space and nonlinear relations between system parameters as a framework for understanding complex behavior. The second topic is microsimulation of communication protocols as multi-layer automata models. The third topic is stochastic models of protocols that reduce computational complexity and make it easier to analyze large systems.
