Development of miniaturized antennas and adaptive tuning solutions for body sensor network applications

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dc.check.embargoformatNot applicableen
dc.check.infoNo embargo requireden
dc.check.opt-outNot applicableen
dc.check.reasonNo embargo requireden
dc.check.typeNo Embargo Required
dc.contributor.advisorMcCarthy, Kevin G.en
dc.contributor.advisorO'Flynn, Brendanen
dc.contributor.authorBuckley, John
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Communityen
dc.date.accessioned2016-06-30T09:13:04Z
dc.date.available2016-06-30T09:13:04Z
dc.date.issued2016
dc.date.submitted2016
dc.description.abstractWireless Sensor Networks (WSNs) are currently having a revolutionary impact in rapidly emerging wearable applications such as health and fitness monitoring amongst many others. These types of Body Sensor Network (BSN) applications require highly integrated wireless sensor devices for use in a wearable configuration, to monitor various physiological parameters of the user. These new requirements are currently posing significant design challenges from an antenna perspective. This work addresses several design challenges relating to antenna design for these types of applications. In this thesis, a review of current antenna solutions for WSN applications is first presented, investigating both commercial and academic solutions. Key design challenges are then identified relating to antenna size and performance. A detailed investigation of the effects of the human body on antenna impedance characteristics is then presented. A first-generation antenna tuning system is then developed. This system enables the antenna impedance to be tuned adaptively in the presence of the human body. Three new antenna designs are also presented. A compact, low-cost 433 MHz antenna design is first reported and the effects of the human body on the impedance of the antenna are investigated. A tunable version of this antenna is then developed, using a higher performance, second-generation tuner that is integrated within the antenna element itself, enabling autonomous tuning in the presence of the human body. Finally, a compact sized, dual-band antenna is reported that covers both the 433 MHz and 2.45 GHz bands to provide improved quality of service (QoS) in WSN applications. To date, state-of-the-art WSN devices are relatively simple in design with limited antenna options available, especially for the lower UHF bands. In addition, current devices have no capability to deal with changing antenna environments such as in wearable BSN applications. This thesis presents several contributions that advance the state-of-the-art in this area, relating to the design of miniaturized WSN antennas and the development of antenna tuning solutions for BSN applications.en
dc.description.sponsorshipEnterprise Ireland (Grant. No. PC_2008_324); Science Foundation Ireland under the European Regional Development Fund (Grant Number 13/RC/2077 – CONNECT and GRANT Number 07/CE/I1147 - CLARITY); European Community {Framework 7 project SMAC (SMArt systems Co-design) – Project reference: 288827 Funded under: FP7-ICT}en
dc.description.statusNot peer revieweden
dc.description.versionAccepted Version
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBuckley, J. 2016. Development of miniaturized antennas and adaptive tuning solutions for body sensor network applications. PhD Thesis, University College Cork.en
dc.identifier.endpage183en
dc.identifier.urihttps://hdl.handle.net/10468/2817
dc.language.isoenen
dc.publisherUniversity College Corken
dc.rights© 2016, John Buckley.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectAntennaen
dc.subjectWearableen
dc.subjectAntenna tuningen
dc.subjectWireless sensor networken
dc.subjectBody sensor networken
dc.subjectAntenna miniaturizationen
dc.subjectMicrostrip antennasen
dc.thesis.opt-outfalse
dc.titleDevelopment of miniaturized antennas and adaptive tuning solutions for body sensor network applicationsen
dc.typeDoctoral thesisen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePHD (Engineering)en
ucc.workflow.supervisork.mccarthy@ucc.ie
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