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Filtering by: Advisor Mayaram, Kartikeya Remove constraint Advisor: Mayaram, Kartikeya Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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Development and Implementation of JetNet : A Decentralized Wireless Sensing Protocol

Creator:

Goins, Justin B.

Abstract:

Modern sensor network applications are often implemented wirelessly in order to lessen installation costs and reduce deployment times. Unfortunately, these wireless sensor network (WSN) nodes must often rely on batteries or energy harvesting techniques in order to sustain their operation and supply the power needed to maintain communication within the...

Resource Type:

Dissertation
Noise and Blocker Cancellation Techniques for Power and Area Efficient Wireless Receivers

Creator:

Pourbagheri, Saeed

Abstract:

The design of mobile wireless devices has always focused on reducing power, area, and cost. This dissertation proposes two techniques that are leveraged to save power and area and therefore cost. The first techniques reduces the noise in the receiver and results in a relaxed power requirement. The second technique...

Resource Type:

Dissertation
Analysis and Design of Low Voltage LC Oscillators and their Application to Wireless Sensor Networks

Creator:

Guha Roy, Ankur

Abstract:

This dissertation focuses on the analysis, design, and application of inductor-capacitor (LC) oscillators for wireless sensor networks (WSNs). First an analysis and design optimization approach for enhanced swing, low power CMOS LC oscillators is presented. A phasor based analysis is used for determining the amplitude and phase noise of these...

Resource Type:

Dissertation
Low power receivers for wireless sensor networks

Creator:

Ni, Ronghua

Abstract:

Wireless sensor networks are becoming important in several monitoring and sensing applications. Ultra low power consumption in the sensor nodes is important for extending the battery life of the nodes. In this dissertation, two low power BFSK receiver architectures are proposed and verified with prototype implementations in silicion. A 2.4...

Resource Type:

Dissertation
A DC-DC converter architecture for low-power, high-resistance thermoelectric generators for use in body-powered designs

Creator:

Miller, Brian A.

Abstract:

This thesis presents a low power DC-DC converter suitable for harvesting energy from high impedance thermoelectric generators (TEGs) for the use in body powered electronics. The chip has been fabricated in a 130nm CMOS technology. To meet the power demands of body powered networks, a novel dual-path architecture capable of...

Resource Type:

Masters Thesis
Analysis and design of CMOS RF LNAs with ESD protection

Creator:

Chandrasekhar, Vinay

Abstract:

An analysis that accounts for the effect of standard electrostatic discharge (ESD) structures on critical LNA specifications of noise figure, input matching and gain is presented. It is shown that the ESD structures degrade LNA performance particularly for higher frequency applications. Two LNAs, one with ESD protection and one without,...

Resource Type:

Masters Thesis
Algorithms and simulators for coupled device/circuit simulation

Creator:

Dudar, Taras

Abstract:

Algorithms and simulators comprised of SPICE3 as a circuit level simulator and two device simulators EOFLOW and PROPHET for accurate simulation of new types of devices are presented in this thesis. An integration of EOFLOW with SPICE3 creates a capability for efficient simulation of a system containing interconnected electroosmotic flow...

Resource Type:

Masters Thesis
Predictive methodologies for substrate parasitic extraction and modeling in heavily doped CMOS substrates

Creator:

Sharma, Ajit

Abstract:

This thesis presents an automated methodology to calibrate the substrate profile for accurate prediction of substrate parasitics using Green's function based extractors. The technique requires fabrication of only a few test structures and results in an accurate three layered approximation of a heavily doped epitaxial silicon substrate. The obtained substrate...

Resource Type:

Masters Thesis
Substrate coupling macromodel for lightly doped CMOS processes

Creator:

Koteeswaran, Mohanalakshmi

Abstract:

A scalable macromodel for substrate noise coupling in lightly doped substrates with and without a buried layer has been developed. This model is based on Z-parameters and is scalable with contact size and separation. This model requires process dependent parameters that can be extracted easily from a small number of...

Resource Type:

Masters Thesis
Layout dependent and bias independent scalable substrate model for RF MOSFETs

Creator:

Suravarapu, Ravikanth

Abstract:

The dependence of the substrate resistance, R[subscript sub], for MOS transistor RF modeling on transistor biasing and layout is studied from device simulations and measurements. Though R[subscript sub] is found to be bias dependent, the error incurred by assuming a constant value equal to the DC resistance is not significant....

Resource Type:

Masters Thesis

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Academic Affiliation

Electrical Engineering and Computer Science39
Electrical and Computer Engineering5

Advisor

Mayaram, Kartikeya[remove]44
Fiez, Terri S.22
Fiez, Terri8
Moon, Un Ku6

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2002 to 2018

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Committee Member

Liu, Huaping7
Natarajan, Arun4
Traylor, Roger4
Chiang, Patrick Y.2
Fiez, Terri2
more Committee Members »

Creator

Ayers, James S.2
Kratyuk, Volodymyr2
Adluri, Sirisha1
Arumugam, Vikrant P.1
Arunachalam, Sasi Kumar S.1
more Creators »

Date

Date range begin – Date range end

Current results range from 2002 to 2018

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Decade

2010-20198
2000-200936

Degree Field

Electrical and Computer Engineering43
Electrical and Computer Science1

Degree Level

Master's34
Doctoral10

Degree Name

Master of Science (M.S.)34
Doctor of Philosophy (Ph.D.)10

File Format

application/pdf11

Language

English [eng]44

License

All rights reserved37

Non-Academic Affiliation

Oregon State University. Graduate School43

Peer Reviewed

No35

Resource Type

Masters Thesis34
Dissertation10

Rights Statement

In Copyright[remove]44

Subject

Substrate noise8
Mixed signal circuits -- Noise5
Electronic noise4
Wireless sensor networks4
Integrated circuits -- Noise3
more Subjects »

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