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Volumn , Issue , 2009, Pages 367-386

In-network detection of anomaly regions in sensor networks with obstacles

Author keywords

[No Author keywords available]

Indexed keywords

CENTRALIZED PROCESSING; COST MODELS; EFFICIENT COMPUTATION; IN NETWORKS; IN-NETWORK PROCESSING; MONITORING AND TRACKING; REGION DETECTION; SENSOR DATA; SENSOR READINGS; SPATIAL EXTENT; SPATIAL REGIONS;

EID: 78650885549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (19)
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    • 33947361528 scopus 로고    scopus 로고
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    • Sabyasachi Basu and Martin Meckesheimer. Automatic outlier detection for time series: an application to sensor data. Knowledge and Information Systems, 11(2):137-154, Feb 2007.
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    • Basu, S.1    Meckesheimer, M.2
  • 6
    • 2342599620 scopus 로고    scopus 로고
    • Query processing in sensor networks
    • Johannes Gehrke and Samuel Madden. Query Processing in Sensor Networks. IEEE Pervasive Computing, 3(1):46-55, 2004.
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    • Gehrke, J.1    Madden, S.2
  • 8
    • 84873914457 scopus 로고    scopus 로고
    • MIT Computer Science and Artificial Intelligence Lab: Intel lab sensor data. http://db.csail.mit.edu/labdata/labdata.html.
    • Intel Lab Sensor Data
  • 9
    • 84994296501 scopus 로고    scopus 로고
    • The impact of data aggregation in wireless sensor networks
    • Washington, DC, USA. IEEE Computer Society
    • Bhaskar Krishnamachari, Deborah Estrin, and Stephen B. Wicker. The Impact of Data Aggregation in Wireless Sensor Networks. In ICDCSW '02, pages 575-578, Washington, DC, USA, 2002. IEEE Computer Society.
    • (2002) ICDCSW ' 02 , pp. 575-578
    • Krishnamachari, B.1    Estrin, D.2    Wicker, S.B.3
  • 12
    • 33747334405 scopus 로고    scopus 로고
    • Reconstructing domain boundaries within a given set of points, using Delaunay triangulation
    • Ivana Kolingerová and Borut Zalik. Reconstructing domain boundaries within a given set of points, using Delaunay triangulation. Comput. Geosci., 32(9):1310-1319, 2006.
    • (2006) Comput. Geosci. , vol.32 , Issue.9 , pp. 1310-1319
    • Kolingerová, I.1    Zalik, B.2
  • 13
    • 35248830261 scopus 로고    scopus 로고
    • Online outlier detection in sensor data using non-parametric models
    • VLDB Endowment
    • Sharmila Subramaniam, Themis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, and Dimitrios Gunopulos. Online outlier detection in sensor data using non-parametric models. In VLDB '06, pages 187-198. VLDB Endowment, 2006.
    • (2006) VLDB '06 , pp. 187-198
    • Subramaniam, S.1    Palpanas, T.2    Papadopoulos, D.3    Kalogeraki, V.4    Gunopulos, D.5
  • 16
    • 1442296009 scopus 로고    scopus 로고
    • The cougar approach to in-network query processing in sensor networks
    • Yong Yao and Johannes Gehrke. The cougar approach to in-network query processing in sensor networks. SIGMOD Rec., 31(3):9-18, 2002.
    • (2002) SIGMOD Rec. , vol.31 , Issue.3 , pp. 9-18
    • Yao, Y.1    Gehrke, J.2
  • 18
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    • Efficient elastic burst detection in data streams
    • New York, NY, USA
    • Yunyue Zhu and Dennis Shasha. Efficient elastic burst detection in data streams. In KDD '03, pages 336-345, New York, NY, USA, 2003.
    • (2003) KDD '03 , pp. 336-345
    • Zhu, Y.1    Shasha, D.2
  • 19
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    • Better burst detection
    • Xin Zhang and Dennis Shasha. Better Burst Detection. In ICDE '06, pages 146-149, 2006.
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    • Zhang, X.1    Shasha, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.