Home Project-material MODELING AND EMPIRICAL ANALYSIS OF IEEE 802.11B DISTRIBUTED COORDINATION FUNCTION (DCF) IN A MULTI-RATE WIRELESS LAN

MODELING AND EMPIRICAL ANALYSIS OF IEEE 802.11B DISTRIBUTED COORDINATION FUNCTION (DCF) IN A MULTI-RATE WIRELESS LAN

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Abstract

Distributed coordination Function is the most crucial component of IEEE 802.11 standard. It is a media access control (MAC) scheme used by the IEEE 802.11. Because the channels used by wireless devices is a time-varying broadcast medium, these devices need to have multi-rate and rate adaptive capability to adapt to the changing channel so that better performance can be achieved. In this work, an analytical model is presented to study the throughput and delay variation of IEEE 802-11b with number of mobiles in a multirate WLAN using the DCF protocol to contend for data transmissions in a slowly-varying channel. Auto Rate Fall back (ARF) protocol was used to adapt rates for different channel qualities and the best configurations and parameter values for the ARF in correspondence to network load and topology to get best performance was discussed.
1.1 Background

The family of IEEE 802.11 protocols has become the most popular

access technologies in the world today. They provide an effective

means of achieving wireless data connectivity in homes, public

places and offices. In 802.11 protocols, the fundamental medium

access method is called DCF (distributed coordination function), a

form of carrier sense multiple access with collision avoidance

(CSMA/CA). The DCF is based on listen before talk procedure

where the terminals first checks to see if the radio link is free before

transmitting and then initiates a random back off procedure to

avoid collisions. The DCF can also use the RTS (request to send) and

CTS (clear to send) technique to further prevent collisions.

Because of signal fading, transmission interference, and user

mobility, wireless channels have time-varying characteristics [1].

This makes different mobile hosts to perceive different channel

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qualities at the same time. In order to obtain a better throughput, the

hosts in a network need to use different transmission rates for

different channel qualities. This multi-rate support is currently

included in most protocols like IEEE 802.11b, 802.11a, 802.11g, and

Hiper-LAN-11. Some rate adaptation techniques have been

designed for 802.11 WLANs including ARF (Auto Rate fall-back)

and RBAR (Receiver Based Auto Rate).

Thus, it is necessary to evaluate and analyze the performance

of IEEE 802.11 WLAN system under the fundamental access

mechanism for medium access control (MAC) called DCF in a multirate WLAN. Most of the analysis on DCF in the past were based

on simulation and no particular IEEE 802.11 standard was used.

Thus the need to carry out an empirical analysis of IEEE 802.11b in a

multi-rate WLAN.

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1.2 Motivation

The performance analysis of IEEE 802.11 networks is an area of

important research interest in the international literature[2].

According to [3], to better understand the performance of WLANs,

a critical challenge is how to analyze IEEE 802.11 DCF. Because the

channel used by wireless devices is a time-varying broadcast

medium, these devices need to have multi-rate and rate-adaptive

capability to adapt to the changing channel so that better

performance can be achieved [4]. This work models and empirically

analyzes the IEEE 802.11b Distributed Coordination Function (DCF)

in a multi-rate wireless LAN. The ARF protocol was used to adapt

rates for different channel qualities and the DCF protocol was

followed to contend for data transmissions in a slowly-varying

channel. There are many factors that affect the performance of a

wireless network such as packet collisions, number of nodes in the

network, the distance between the sender and the receiver ( i.e the

range ), interference by other wireless devices and obstructions like

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walls e.t.c. But in this work, the main aim is to verify the effects of

the distance between the sender and the receiver (Range) and the

number of nodes in a network on the saturation throughput and

delay performances of the network.

1.3 Objectives

The main objectives of this work are;

(i) To present a model for IEEE 802.11b distributed

coordination function (DCF) in a Multi-rate WLAN.

(ii) An empirical analysis of IEEE 802.11b DCF in a multi-rate

WLAN based on the saturation throughput and delay

using the ARF (auto Rate full back) as a protocol to adapt

rates for different channel qualities.

(iii) To use the results in (ii) to determine the best

configurations and parameter values for the ARF relative to

network load.

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1.4 Justification

High throughput and low delay is the desire of every WLAN user.

In order to achieve this, a multi rate WLAN is to be used. This work

will go a long way to improve on the user mobility of the wireless

LAN and as well help to reduce the effect of signal fading and

transmission interference on the system.

1.5 Scope of work

This work deals with modeling and empirical analysis of IEEE

802.11b DCF in a multi-rate WLAN. In this work a model is to be

presented for IEEE 802.11b DCF in a Multi-Rate WLAN. An actual

measurement of the saturation throughput and delay is to be carried

out for a given number of mobile hosts and at different ranges. The

ARF parameters to be used in the analysis are S (maximum number

of consecutive successes before switch to higher rate) and F

(maximum number of consecutive failures before switching to lower

rate).

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1.6 Project report organization

This project is systematically presented in five chapters to describe

the modeling and analysis carried out on 802.11b DCF in a multirate WLAN. Chapter 1 explains the background scope and

organization of the entire project. Chapter 2 presents a review of

other work already done in IEEE 802.11b multi-rate WLAN, 802.11

standards and Distributed Coordination function (DCF). A

comparative review of single-rate and multi-rate 802.11 WLAN is

then drawn.

Chapter 3 is the methodology and system design. It contains

the assumptions made in the research, throughput measurement

and estimation and delay measurement and estimation.

Chapter 4 is results and analysis. It shows the tables of values

of all the measurement taken and the graphs of the average through

put and delay against number of mobile hosts in each region of the

network using different ARF Sm and Fm values.

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Chapter 5 is summary and conclusion. It contains summary of

achievement, problems encountered during the research and

solutions and recommendations. Furthermore suggestions are made

for further research on the area and a conclusion was drawn.


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