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Georgia Institute of Technology

Low-energy and spectrally-efficient IoT sensors with low-cost additive manufacturing

Abstract

dc:description.abstract

This thesis develops low-energy and low-cost communication and powering modules for sensors and devices for the Internet of Things (IoT). To minimize the energy footprint of IoT sensors, backscatter radio is utilized for communication, instead of power-demanding active radios. Custom tag front-ends are designed to increase the sensors' maximum range and incorporate RF energy harvesters for battery recharging or battery exclusion. Custom, non-conventional front-ends are proposed that a) maximize the backscattering efficiency and operating range, b) generate smooth, arbitrary waveforms for reduced per-sensor bandwidth occupancy which allows high network density, c) boost datarates up to the Gigabit-range by utilizing mmWave frequency bands. RF harvesting front-ends are developed to complement the communication front-ends, taking into account the complex requirements of the IoT: hassle-free device deployment without knowledge/predetermined RF source positions or frequency bands. Additive manufacturing (3D- and inkjet- printing) are fully exploited to build compact Origami-reconfigurable packages with embedded antennas and front-ends or fully-flexible and miniaturized printed communicators and harvesters that can be integrated to wearables and small portable devices. The broad range of modules presented in this thesis will reduce the complexity of IoT nodes ranging from low-bitrate, long-range sensors at UHF frequencies up to ultra-wideband backscatter communicators operating at mm-Wave bands for real-time, high-datarate applications.

Degree

thesis:*
Level thesis:degree_level
Doctoral
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kimionis, Ioannis
Advisor dc:contributor.advisor
  • Tentzeris, Emmanouil M.
Committee members dc:contributor.committeemember
  • Durgin, Gregory
  • Zajic, Alenka
  • Baeyens, Yves
  • Georgiadis, Apostolos

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/60705
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/60705

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Kimionis, Ioannis. Low-energy and spectrally-efficient IoT sensors with low-cost additive manufacturing. Doctoral thesis, Georgia Institute of Technology, 2017. http://hdl.handle.net/1853/60705