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Energy-Efficient and Robust Wireless Connectivity and Sensing Solutions for the Internet of Things

dc.contributor.authorMoosavifar, Milad
dc.date.accessioned2022-05-25T15:24:55Z
dc.date.available2024-05-01
dc.date.available2022-05-25T15:24:55Z
dc.date.issued2022
dc.date.submitted2022
dc.identifier.urihttps://hdl.handle.net/2027.42/172660
dc.description.abstractIn recent years, as smart sensor nodes are being ubiquitously adopted in different environments and applications, there has been an exponential growth in the number of Internet of Things (IoT) sensor nodes which is expected to reach a 1-trillion-node milestone sometime in our lifetime. Wireless connectivity and sensing are the centerpieces to the promised massive IoT networks, which commonly experience strict energy restraints. It has been demonstrated that wireless communication and sensing are some of the major barriers in Ultra-Low-Power (ULP) Wireless Sensor Node (WSN) design due to their high power consumption. Applications such as surveillance, biomedical, and wearable have spurred a tremendous amount of innovation in wireless devices and systems. However, the rollout of the modern wireless solutions has not been able to fully meet the requirements of the modern wireless era, i.e. leading to highly scalable wireless communication and sensing network infrastructure while maintaining the low-power and ULP regime. The small form factor and low power consumption requirement pose severe limitations on the performance of wireless systems. One of the main challenges is achieving high levels of interference tolerance in densely populated wireless networks, in which ULP receivers experience significant degradations. Second, non-integrated millimeter-wave (mm-wave) wireless systems encounter excessive losses due to their distributed nature and fail to preserve the miniature form factor. The objectives of this research are to analyze and address the aforementioned challenges by proposing new system design techniques as well as circuit architectures to offer end to end energy-efficient wireless solutions for connectivity and sensing. Three prototypes of the proposed systems were implemented for evaluation and are discussed in this thesis. The first prototype is a ULP interference-tolerant 433MHz receiver utilizing a novel Dual Chirp On Off-Keying (DC-OOK) modulation scheme. This radio consumes 110µW active power while achieving -103dBm sensitivity at 2.5kb/s data rate and a Signal to Interference Ratio (SIR) up to -41dB. The second work is a 900MHz low power blocker tolerant receiver with chirped OOK modulation that showcases a highly-selective receiver architecture leveraging a novel chirped N-path filter. The third prototype is a 50mW PLL less fully integrated 60GHz FMCW radar transceiver with on chip antennas that leverages a novel co designed transmitter and receiver to enable an ADC assisted chirp linearization scheme to compensate for chirp non linearities with minimum power overhead. The prototypes showcased in this research prove the feasibility of simultaneously energy efficient and blocker-tolerant wireless solutions while maintaining miniaturized form factor.
dc.language.isoen_US
dc.subjectRF Receiver
dc.subjectWireless Communication
dc.subjectInternet of Things
dc.subjectUltra-Low-Power Radios
dc.subjectInterference-Tolerant Radios
dc.subjectWireless Sensing
dc.titleEnergy-Efficient and Robust Wireless Connectivity and Sensing Solutions for the Internet of Things
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineElectrical and Computer Engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberWentzloff, David
dc.contributor.committeememberDreslinski Jr, Ronald
dc.contributor.committeememberFlynn, Michael
dc.contributor.committeememberSylvester, Dennis Michael
dc.subject.hlbsecondlevelElectrical Engineering
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172660/1/moosavi_1.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/4689
dc.identifier.orcid0000-0001-8617-4527
dc.identifier.name-orcidMoosavifar, Milad; 0000-0001-8617-4527en_US
dc.working.doi10.7302/4689en
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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