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Volumn , Issue , 2009, Pages 447-450

Localization algorithm based on SVM-data fusion in wireless sensor networks

Author keywords

Data fusion; Node localization; Support Vector Machine (SVM); Wireless Sensor Network (WSN)

Indexed keywords

DISTANCE ESTIMATION; DISTRIBUTED NODES; LEAST SQUARE SUPPORT VECTOR MACHINES; LOCALIZATION ALGORITHM; LOCATION ALGORITHMS; MEASUREMENT DATA; MULTI-PATH; MULTIPLE ACCESS; NETWORK COSTS; NODE LOCALIZATION; POSITIONING ACCURACY; POSITIONING PROCESS; POSITIONING TECHNOLOGIES; SUPPORT VECTOR MACHINE (SVM);

EID: 77950677374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WGEC.2009.16     Document Type: Conference Paper
Times cited : (6)

References (5)
  • 1
    • 0037279394 scopus 로고    scopus 로고
    • TOA-based Location Algorithm Redueing the Errors Due to Non-Line-of Sight(NLOS) ProPagation
    • Wang X, Wang Z X, O'Dea B.A ,TOA-based Location Algorithm Redueing the Errors Due to Non-Line-of Sight(NLOS) ProPagation,IEEE Trans.Vehicular Tech,2003,Vol.52(1):112-116.
    • (2003) IEEE Trans.Vehicular Tech , vol.52 , Issue.1 , pp. 112-116
    • Wang, X.1    Wang, Z.X.2    O'Dea, B.A.3
  • 4
    • 0346250790 scopus 로고    scopus 로고
    • Practical selection of SVM parameters and noise estimation for SVM regression
    • Elsevier Science Ltd.
    • V. Cherkassky, Y. Ma, Practical selection of SVM parameters and noise estimation for SVM regression, Neural Networks, Elsevier Science Ltd.2004, Vol.17(1):113-126.
    • (2004) Neural Networks , vol.17 , Issue.1 , pp. 113-126
    • Cherkassky, V.1    Ma, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.