Simulation of Wireless Network Systems This chapter deals with simulation of wireless network systems. We introduce the basics of discrete-event simulation as it is the simulation technique that is used for simulating wireless networks. We then review the main characteristics of the commonly used stochastic distributions used for the simulation of wireless networks. The techniques used to generate and test random number sequences are investigated. Then, we introduce the techniques used to generate random variates followed by performance metrics considerations. The chapter concludes with cases studies on the simulation of some wireless network systems. . | Wireless Networks. P. Nicopolitidis M. S. Obaidat G. I. Papadimitriou and A. S. Pomportsis Copyright 2003 John Wiley Sons Ltd. ISBN 0-470-84529-5 13 Simulation of Wireless Network Systems This chapter deals with simulation of wireless network systems. We introduce the basics of discrete-event simulation as it is the simulation technique that is used for simulating wireless networks. We then review the main characteristics of the commonly used stochastic distributions used for the simulation of wireless networks. The techniques used to generate and test random number sequences are investigated. Then we introduce the techniques used to generate random variates followed by performance metrics considerations. The chapter concludes with cases studies on the simulation of some wireless network systems. Basics of Discrete-Event Simulation Simulation is a general term that is used in many disciplines including performance evaluation of computer and telecommunications systems. It is the process of designing a model of a real system and conducting experiments with this model for the purpose of understanding its behavior or of evaluating various strategies of its operation. Others defined simulation as the process of experimenting with a model of the system under study using computer programming. It measures a model of the system rather than the system itself. A model is a description of a system by symbolic language or theory to be seen as a system with which the world of objects can be expressed. Thus a model is a system interpretation or realization of a theory that is true. Shannon defined a model as the process of designing a computerized model of a system or a process and conducting experiments with this model for the purpose either of understanding the behavior of the system or of evaluating various strategies for the operation of the system. Based on the above definition of a model we can redefine simulation as the use of a model which may be a computer model to
