Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/301346
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dc.coverage.spatialNovel key management schemes for medical sensor networks in telemedicine based applications
dc.date.accessioned2020-09-29T08:37:32Z-
dc.date.available2020-09-29T08:37:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/301346-
dc.description.abstractMedical Sensor Networks (MSN) consist of a group of tiny and movable sensors that are capable of communicating with one another. Sensors can be wearable or implanted into the patient s body to observe parameters such as ECG, EEG and blood pressure level. Diagnostic equipments embedded with imaging technologies, genetic analysis etc., are used for collecting realistic data from patients. Conversely, there are numerous difficulties faced by Medical Sensor Networks before their deployment in the real world. Sensors have limited resources in terms of power consumption, memory and computational potential. Since the sensors are battery operated and small in size, power consumption, energy spent for communication, computation, memory management are the main issues to be considered. Therefore, Medical Sensor Networks require manageable and secure communication to assure confidentiality, integrity, authentication and nonrepudiation of real time medical data. Real time healthcare decreases the duration of stay in healthcare organizations by improving patient care. The existing healthcare information is intricate, with medical information streaming across a number of interlinked and communally dependent organizations, service providers and individual human beings. Medical information is conveyed electronically through LAN, MAN and WAN by using all kinds of wireless devices such as laptops, smart phones and especial hand held medical information devices like wireless medical telemetry. newline
dc.format.extentxviii, 211p.
dc.languageEnglish
dc.relationp.200-210
dc.rightsuniversity
dc.titleNovel key management schemes for medical sensor networks in telemedicine based applications
dc.title.alternative
dc.creator.researcherKalaivani K
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordmedical sensor
dc.subject.keywordtelemedicine
dc.description.note
dc.contributor.guideSivakumar R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registeredn.d.
dc.date.completed2019
dc.date.awarded30/08/2019
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File22.83 kBAdobe PDFView/Open
02_certificates.pdf943.87 kBAdobe PDFView/Open
03_abstracts.pdf7.26 kBAdobe PDFView/Open
04_acknowledgements.pdf3.86 kBAdobe PDFView/Open
05_contents.pdf16.6 kBAdobe PDFView/Open
06_listofabbreviations.pdf3.53 kBAdobe PDFView/Open
07_chapter1.pdf134.23 kBAdobe PDFView/Open
08_chapter2.pdf148.23 kBAdobe PDFView/Open
09_chapter3.pdf1.22 MBAdobe PDFView/Open
10_chapter4.pdf607.33 kBAdobe PDFView/Open
12_conclusion.pdf210.45 kBAdobe PDFView/Open
13_references.pdf34.7 kBAdobe PDFView/Open
14_listofpublications.pdf27.55 kBAdobe PDFView/Open
80_recommendation.pdf284.48 kBAdobe PDFView/Open


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