Low-Power Techniques for Resolution and Frequency-Reconfigurable Data Conversion for Sensor-Based Applications

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dc.contributor.advisorBALSARA, PORAS T
dc.creatorSrinivasan, Sharath Ranga
dc.date.accessioned2019-06-20T00:02:00Z
dc.date.available2019-06-20T00:02:00Z
dc.date.created2017-05
dc.date.issued2017-05
dc.date.submittedMay 2017
dc.date.updated2019-06-20T00:04:09Z
dc.description.abstractOwing to the rapid technological advancements, the area of Wireless Sensor Networks has seen a Tremendous growth and are instrumental in a multitude of applications ranging from health monitoring to space exploration. Sensor networks consist of completely autonomous self-powered multiple sensor nodes that assimilate, process and transmit information, either continually or based on an event, in a distributed fashion. Although they provide innu-merable possibilities, battery size is scaled down to match the footprint of the device, and therefore, the energy-efficiency of the electronic circuitry is crucial in improving the lifetime of sensor nodes. An energy-efficient fexible analog-to-digital converter (ADC), which is an important com-ponent of any sensor node, has been proposed. The conversion speed and resolution of the proposed ADC architecture can be easily reconfigured, enabling the option to fine-tune the power consumption and performance based on the application at hand. A wide range of adjustable sampling rate of 500 Samples/Sec - 200 KSamples/Sec and resolution from 6-10 bits has been targeted in this work. In this dissertation, a new switching technique for successive-approximation ADC has been presented that is 90.4% more energy-efficient than the conventional architecture. Detailed analysis along with simulation and chip measurement results prove the robustness of the proposed ADC.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10735.1/6609
dc.language.isoen
dc.rights©2017 Sharath Ranga Srinivasan. All Rights Reserved.
dc.subjectWireless sensor networks
dc.subjectSuccessive approximation analog-to-digital converters
dc.subjectLow voltage systems
dc.titleLow-Power Techniques for Resolution and Frequency-Reconfigurable Data Conversion for Sensor-Based Applications
dc.typeDissertation
dc.type.materialtext
thesis.degree.departmentElectrical Engineering
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.levelDoctoral
thesis.degree.namePHD

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