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Volumn 2005, Issue , 2005, Pages 386-390

A biologically-inspired clustering algorithm dependent on spatial data in sensor networks

Author keywords

Biological algorithms; Clustering; Sensor networks; Spatial data dependency

Indexed keywords

ALGORITHMS; DATA HANDLING; DATA STRUCTURES; ENERGY UTILIZATION; SIGNAL PROCESSING; TELECOMMUNICATION NETWORKS; BIOINFORMATICS; CLUSTERING ALGORITHMS; SENSITIVITY ANALYSIS;

EID: 33746791187     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EWSN.2005.1462030     Document Type: Conference Paper
Times cited : (19)

References (11)
  • 1
    • 28844493469 scopus 로고    scopus 로고
    • The development of a robust, autonomous sensor network platform for environmental monitoring
    • Limerick, Sep.
    • L. Sacks et al, "The Development of a Robust, Autonomous Sensor Network Platform for Environmental Monitoring". Sensors & their Applications XII conference. Limerick, Sep. 2003.
    • (2003) Sensors & Their Applications XII Conference
    • Sacks, L.1
  • 5
    • 33746792093 scopus 로고    scopus 로고
    • Wavenet: http://www.cefas.co.uk/wavenet/
  • 7
    • 33746832173 scopus 로고    scopus 로고
    • Butterworlh Heinemann
    • nd ed.. Butterworlh Heinemann, 1999.
    • (1999) nd Ed.
  • 9
    • 33746812795 scopus 로고    scopus 로고
    • U. Wilensky, Connected Learning and Computer-Based Modeling Centre, Northwestern University, 1999
    • U. Wilensky, Connected Learning and Computer-Based Modeling Centre, Northwestern University, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.