Title :
Stochastic Process Generation for Traffic Flow Simulation
Author_Institution :
Fac. of Commun. Tech. & Technol., Rousse Univ.
Abstract :
The paper deals with computer generation of pseudorandom numbers, random variables and stochastic processes. Inverse-transform method, composition method and acceptance-rejection method for generation of one-dimensional continuous variations are considered. Algorithms for simulation of the basic distributions (exponential, gamma, beta, normal binomial, Bernoulli, Poisson and geometric) are suggested. Examples and numerical results for conventional queuing networks are shown
Keywords :
Poisson distribution; binomial distribution; exponential distribution; gamma distribution; queueing theory; random number generation; stochastic processes; telecommunication traffic; transforms; Bernoulli distribution; Inverse-transform method; Poisson distribution; acceptance-rejection method; beta distribution; exponential distribution; gamma distribution; geometric distribution; normal binomial distribution; pseudorandom numbers; queuing networks; stochastic process generation; traffic flow simulation; Computational modeling; Computer simulation; Distribution functions; Random number generation; Random sequences; Random variables; Solid modeling; Stochastic processes; Testing; Traffic control; Modelling of Traffic Behaviour; Stochastic Process Simulation;
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2005. 7th International Conference on
Conference_Location :
Nis
Print_ISBN :
0-7803-9164-0
DOI :
10.1109/TELSKS.2005.1572175
