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Volumn , Issue , 2011, Pages 293-296

Indoor fingerprint localization in WSN environment based on neural network

Author keywords

Fingerprint location; Mobile sensor; Received Signal Strength; WSN

Indexed keywords

APPLICATION AREA; EUCLIDEAN DISTANCE; FEED-FORWARD NETWORK; FINGERPRINT LOCATION; INDOOR ENVIRONMENT; INDOOR LOCALIZATION; MEASUREMENT RESULTS; MOBILE SENSOR; NEURAL NETWORK MODEL; REAL COORDINATES; REAL ENVIRONMENTS; RECEIVED SIGNAL STRENGTH; RECEIVED SIGNAL STRENGTH INDICATORS; STANDARD DEVIATION; TECHNICAL SOLUTIONS; WIRELESS SENSOR; WSN;

EID: 80054794679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SISY.2011.6034340     Document Type: Conference Paper
Times cited : (52)

References (9)
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  • 3
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    • June 3-4, Subotica, Serbia, International Scientific Colloquium "Science In Practice"
    • Gogolak Laslo, Dr Pletl Szilveszter, Gál Péter, Dukai Zoltán - " Observing inland waters with ultrasonic distance measuring by the aid of wireless sensor networks" - SIP 2010 June 3-4, 2010 Subotica, Serbia XXVIII. International Scientific Colloquium "Science In Practice"
    • (2010) SIP 2010 , vol.28
    • Laslo, G.1    Szilveszter, D.P.2    Péter, G.3    Zoltán, D.4
  • 4
    • 34247885928 scopus 로고    scopus 로고
    • Wireless sensor network localization techniques
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    • Guoqiang Mao, Bariş Fidan, Brian D. O. Anderson "Wireless sensor network localization techniques", Computer Networks, Volume 51, Issue 10, 11 July 2007, Pages 2529-2553
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  • 6
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    • Belgrade, Serbia
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  • 8
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    • Komárno, 14-17.07.2010, Komárno, Univerzita J. Selyeho v Komárne, ISBN 978-80-8122-003-6
    • Szabó Csaba, Sobota Branislav, Kiš Roman: Terrain LoD in realtime 3D map visualization, Abstract of the 8th Joint Conference on Mathematics and Computer Science, Komárno, 14-17.07.2010, Komárno, Univerzita J. Selyeho v Komárne, 2010, ISBN 978-80-8122-003-6
    • (2010) Abstract of the 8th Joint Conference on Mathematics and Computer Science
    • Csaba, S.1    Branislav, S.2    Roman, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.