Communication and Computer Networks

1. Networks, Queues and Performance Modelling.

1.1 Introduction.

1.2 Network tyes.

1.3 Multiple-access protocols.

1.4 Discrete-time queues.

1.5 Performance measures.

2. Probability, Random Variables, and Distributions.

2.1 Probability.

2.2 Random variables.

2.3 Distributions.

2.4 Conditional distributions.

3. Stochastic Process and Markov Chains.

3.1 Poisson process.

3.2 Properties of the Poisson process.

3.3 Markov chains.

3.4 Markov chain models.

3.5 Exercises.

4. Discrete-Time Queues.

4.1 Performance measures and Litte's result.

4.2 Discrete-time queueing conventions.

4.3 Discrete-time M/M/1 queue.

4.4 Discrete-time M/M/1/J queue.

4.5 Discrete-time M?an/M/1

4.6 Discrete-time M?an/M?dm/ infinity queue.

4.7 S-queues.

4.8 Exercises.

5. Discrete-Time Queueing Networks.

5.1 Tandem S-queues.

5.2 Network of S-queues.

5.3 Discrete-time queueing network models for multiple access protocols.

5.4 Equilibrium point analysis.

5.5 Different customer classes.

5.6 Exercises.

6. Satellite Networks.

6.1 Time-division multiple access.

6.2 Slotted Aloha.

6.3 Code division multiple access.

6.4 Buffered slotted Aloha

6.5 Exercises.

7. Local Area Networks.

7.1 Carrier sensing networks.

7.2 Token passing networks.

7.3 Slotted rings.

7.4 Exercises.

Appendix.

References.

Index.