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Efficient Agile Sink Selection in Wireless Sensor Networks Based on Compressed Sensing

Author:
Mahmudimanesh, M. , Naseri, A. , Suri, N.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICSICT.2014.7021333
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/998738
Keyword(s): elemental semiconductors,etching,germanium,junction gate field effect transistors,power field effect transistors,silicon-on-insulator,Ge-Si,JL pGAA FET,SOI,anisotropic etching,defect removal,high performance inversion,ion enhancement,junctionless gate-all-around FET structure,sidewall INV nFET,subthreshold characteristics,voltage -1 V,voltage -2 V,Abstracts,Field effect transistors,Germanium silicon alloys,Logic gates
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    Efficient Agile Sink Selection in Wireless Sensor Networks Based on Compressed Sensing

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contributor authorMahmudimanesh, M. , Naseri, A. , Suri, N.
date accessioned2020-03-12T20:01:05Z
date available2020-03-12T20:01:05Z
date issued2014
identifier other6846165.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/998738?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleEfficient Agile Sink Selection in Wireless Sensor Networks Based on Compressed Sensing
typeConference Paper
contenttypeMetadata Only
identifier padid8118972
subject keywordselemental semiconductors
subject keywordsetching
subject keywordsgermanium
subject keywordsjunction gate field effect transistors
subject keywordspower field effect transistors
subject keywordssilicon-on-insulator
subject keywordsGe-Si
subject keywordsJL pGAA FET
subject keywordsSOI
subject keywordsanisotropic etching
subject keywordsdefect removal
subject keywordshigh performance inversion
subject keywordsion enhancement
subject keywordsjunctionless gate-all-around FET structure
subject keywordssidewall INV nFET
subject keywordssubthreshold characteristics
subject keywordsvoltage -1 V
subject keywordsvoltage -2 V
subject keywordsAbstracts
subject keywordsField effect transistors
subject keywordsGermanium silicon alloys
subject keywordsLogic gates
identifier doi10.1109/ICSICT.2014.7021333
journal titleistributed Computing in Sensor Systems (DCOSS), 2014 IEEE International Conference on
filesize366959
citations0
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