Dynamic waveform : power adaptation in wireless LANs, 2002

Item — Call Number: MU Thesis Gre

Identifier: b2125205

Scope and Contents

From the Collection:

The collection consists of theses written by students enrolled in the Monmouth University graduate Computer Science program. The holdings are primarily bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 2002

Creator

Green, David Bennett (Author, Person)
Obaidat, Mohammad S. (Mohammad Salameh), 1952- (Thesis advisor, Person)

Conditions Governing Access

All analog collection holdings are limited to library use only.

Collection holdings may not be borrowed through Interlibrary Loan.

Researchers seeking to photocopy collection materials must complete an Application to Photocopy Form.

Any photocopying of collection materials will be performed by the Monmouth University Library staff.

The Monmouth University Library reserves the right to limit or refuse duplication requests subject to the condition of collection materials and/or restrictions imposed by the collection creators or by the United States Copyright Act.

Permission to examine, or copy, collection materials does not imply permission to publish or quote. It is the responsibility of the researcher to obtain such permissions from both the copyright holder and Monmouth University.

Full Extent

1 Items (print book) : 209 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

This thesis presents a method for dyamically setting 802.11 wireless LAN waveforms and transmission power levels based on the wireless channel's signal to noise ratio. Simulation models were developed to study the performance of our media access control (MAC) protocol, SNR-WPA (Signal to Noise Ratio-Waveform Power Adaptation), and compare the performance to a baseline wireless LAN MAC. SNR-WPA method is shown to increase the throughput and range while decreasing the packet delay for wireless LAN networks including Mobile Ad-hoc Networks (MANETs). Unlike other power adaptation models, this method does not increase the WLAN station's overall effective operational range and will cause minimum changes to WLAN network's minimum spanning tree used to calculate routing. By avoiding perturbation of the minimum-spannng tree, we can avoid generating 'new link' routing messages and create a power adaptation method especially suitable for MANETs using link-state routing. We found through experimentation that the power adaptation in SNR-WPA yields up to a 50% increase in throughput in a mobile wireless LAN network.

Partial Contents

1. Introduction -- 2. Background and literature review -- 3. Objectives and methodology -- 4. Analysis techniques -- 5. Experimental MAC protocol -- 6. Results and discussion -- 7. Conclusions and recommendations -- References -- Appendices.