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Date of Award

7-2010

Degree Type

Thesis

Degree Name

Master of Applied Science (MASc)

Department

Electrical and Computer Engineering

Supervisor

Dongmei Zhao

Language

English

Abstract

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Building a wireless sensor network (WSN) based on cognitive radio can be promising in the near future in order to provide data transmissions with quality of service requirements, while avoiding the interference in the license-free spectrum and high cost in accessing dedicated spectrum.

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In this thesis, we design a cognitive radio sensor network (CRSN) that integrates wireless sensor networking and cognitive radio technology, and analyze its performance. The network opportunistically accesses vacant channels in the licensed spectrum. \i\Then the current channel becomes unavailable, the devices switch to another available channel. The network supports both real-time and non-real-time traffic. Delay performance for the real-time traffic and throughput for the non-real- time traffic are studied. Two types of the real-time traffic are considered: bursty traffic where a burst of packets are generated periodically and each burst includes a random number of packets, and Poisson traffic where packet arrivals follow a Poisson process. Analytical models are developed for the average packet transmission delay 'when supporting each type of the real-time traffic, and simulation results of both the average transmission delay and packet drop rate performance are demonstrated . Our results indicate that real-time traffic can be effectively supported in the CRSN. Given the total number of candidate channels that can possibly be used by a CRSN, we consider how to allocate the channels among different clusters in order to maximize the system throughput. A heuristic scheme is designed to find the optimum channel allocations that achieves the same throughput as the exhaustive search method.

McMaster University Library

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