COMPUTER NETWORKING

Computer Networking

Table of Contents

(A) - Network Simulation4

Introduction4

Design a Network Model7

Simulate the Network Model10

Analyse the performance of the Network Model11

References22

(B) - Wireless Communications23

Introduction23

Implementations Of Cellular Systems23

TACS25

The Advanced Mobile Phone Service (AMPS)26

NMT derivatives29

GSM32

Universal Mobile Telecommunications System (UMTS)37

Conclusion41

References42

(C) - Research Skills and Academic Literacy43

Part A43

Title of research43

Plan mapped onto a V diagram43

Part B44

Abstract44

Introduction44

Methodology50

Suggested findings53

Reflective summary56

References59

(D) - Digital Telephony62

Introduction62

Ad-hoc VoIP networks64

The E-model65

System design and implementation with p-SIP67

System architecture with p-SIP67

Implementation of p-SIP70

State diagram of p-SIP70

Performance analyses73

Signaling delay analysis75

Voice traffic measurements78

Conclusions82

References83

(A) - Network Simulation

Introduction

It has been established that Internet traffic is self-similar, bursty and has a heavy tail statistical nature. This traffic pattern-based observation leads to the need for a signaling protocol not only suitable for long duration flows but also improving the network throughput and the provisioning speed at the same time. Optical burst switching with its signaling protocol suite is the switching paradigm of choice combining the best of Optical Flow Switching and Optical Packet Switching for high bit-rate transfer, providing real-time support for multi-media internet traffic, and fast switch configuration for short duration sessions (Hsu & Huang, 2002: 66).

The latest signaling protocol, JET (Just Enough Time) for burst switched optical networks (BSON) controls the end-to-end delay by adjusting the offset time at the source edge node based on the processing time of the control packet along the path taken by the burst. The burst is buffered at the source edge node for the duration of offset time. JET does not support any QoS scheme taking into consideration the properties of the WDM (Wavelength Division Multiplexing) layer. Furthermore, our scheme combines the contention resolution with a dynamic class-based allocation of resources such as FDLs (Fiber Delay Lines) and OWCs (Optical Wavelength Converters).

This new switching paradigm is continuously evolving and all its components (signaling, burstification, routing and QoS) are being studied and enhanced by the research community. We have introduced an optical wavelength converter placement algorithm using limited range conversion. The complexity of the protocol and the numerous constraints achieving the optimal performance, dictated the need for a robust, extensible simulation framework to further study possible improvements to the Quality of Service (QoS) in BSON.

FANS framework (Framework for Advanced Network Simulation) was developed by our research group at the University of Central Florida as a research tool to provide time-saving flexible test-bed for a wide range of network technologies. The framework is cross-platform, GUI-driven and can be used as a generic advanced network simulator for a variety of purposes, such as routing in ad hoc networks, QoS schemes for burst switched optical networks, mobility models of totally mobile wireless networks, and Bluetooth Pico-nets. We currently use an implementation of FANS architecture as a test-bed for our burst switched optical network algorithms testing. In the following sections we first describe the architecture of FANS framework, then give an example of simulating QoS combining Fiber delay lines and Optical wavelength converters for burst switched optical networks using FANS (Hsu & Huang, 2002: 69).

Simulate the Network Model

We have developed a customized network simulator that is general ...