Dissertation/Thesis Abstract

Towards a Benchmarking and QoS Framework for Wireless Mesh and Cognitive Radio Networks
by Huang, Bin, Ph.D., University of Louisiana at Lafayette, 2015, 115; 10002415
Abstract (Summary)

First, the performance of Wireless Mesh Networks has been compared with four different backhaul configurations (with different number of radios, different antenna types, and different number of parallel backhauls, etc.) for the deployments in the residential areas. Simulation results show that interference among client access cells makes access channels the bottleneck of end-to-end performance no matter what backhaul configuration is used, and tuning the transmission power of the access channel radio can improve the end-to-end performance substantially. We also find that the multi-radio backhaul WMNs do not have the serious performance unfairness among clients with different hop counts from the gateways as the single-radio backhaul WMNs have. In this dissertation, we aim at the benchmarking of DCRNs and a general frame work for various DCRNs layers, protocols and algorithm design and evaluation. After an overview of the traditional computer system benchmark and existing wireless network benchmark literature, we present a specific methodology, index formula, and benchmark score system for DCRNs as a step towards more comprehensive solutions. A user case has been provided that uses the proposed methods for DCRN performance benchmarking and prediction, based on experiment design principle. Finally, a new handoff and spectrum sharing scheme has been propsed, to take consideration of QoS in DCRNs, through the settings and adjustment of contention window to ensure priority of handoff SUs over newly joined SUs, and the priority of different traffic types. We perform simulation in network simulator NS-3 and compare our scheme against 802.11 and 802.11e based DCRNs and with major result metrics to show the advantages of our proposed scheme.

Indexing (document details)
Advisor: Perkins, Dmitri
Commitee: Bayoumi, Magdy, Perkins, Dmitri, Wu, Hongyi
School: University of Louisiana at Lafayette
Department: Computer Engineering
School Location: United States -- Louisiana
Source: DAI-B 77/06(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Computer Engineering
Keywords: Benchmarking, Cognitive radio networks, Deployment, Qos, Spectrum handoff, Wireless mesh networks
Publication Number: 10002415
ISBN: 9781339419251
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