TELECOMMUNICATION NETWORKS

ING-INF/03 - 9 CFU - 1° semestre

Docente titolare dell'insegnamento

SERGIO PALAZZO


Obiettivi formativi

Knowledge of advanced topics in networking.

Knowledge of the fundamentals of network performance analysis.


Modalità di svolgimento dell'insegnamento

The course involves frontal lectures, laboratories, and seminars.


Prerequisiti richiesti

Basic knowledge of the general principles of electrical, electronic, and computing engineering, with specific reference to fundamentals of communications and networking.



Frequenza lezioni

Recommended, though not mandatory.



Contenuti del corso

1. Evolutional trends of networking

Architectural and conceptual issues for the next-generation Internet. Advanced approaches for network control and management. Principles of network softwarization.

2. Network security issues

Classification of network attacks. Principles of cryptography. Securing techniques. Authentication schemes.

3. Technologies for wireless access networks

Ad hoc networks. Opportunistic networks. IEEE 802.11 standards. Vehicular networks. UAVs. Underwater networks. Satellite-based networks. Body and intrabody area networks.

4. Supporting techniques for advanced network applications

Peer-to-peer applications. Multimedia network applications.

5. Architectures and systems for optical transport networks

Fundamentals of fiber optic communications. Wavelength Division Multiplexing (WDM). Optical switches and routers.

6. Network performance fundamentals and queueing theory

Network performance metrics. Introduction to queueing theory. Poisson processes. Discrete-time Markov chains. Continuous-time Markov chains. M/M/1 systems. M/M/1/n systems. M/G/1 systems. M/G/1 systems with priority. M/D/1 systems. Introduction to networks of queues.

7. Performance evaluation: case studies

Performance analysis of data-link control protocols. Performance analysis of MAC protocols: random access and carrier sensing schemes. Numerical exercises on performance evaluation.

8. Tools for network modeling and design

Network optimization techniques. Machine learning in networking. Game theory. Mobility models. Simulation tools.



Testi di riferimento

1) A. Tanenbaum: Computer Networks, Prentice-Hall.

2) J. Kurose, K. Ross: Computer Networking, Addison-Wesley.

3) D. Bertsekas, R. Gallager: Data Networks, Prentice-Hall.

4) A. Pattavina: Internet e Reti - Fondamenti.


Altro materiale didattico

http://studium.unict.it/dokeos/2019/courses/12653/



Verifica dell'apprendimento


MODALITÀ DI VERIFICA DELL'APPRENDIMENTO

Oral discussion (prova orale)




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