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Volumn 2006, Issue , 2006, Pages 475-476

Geometry-based reasoning for a large sensor network

Author keywords

Boundary recognition; Distributed computing; Flowers; Sensor networks; SHAWN; SwarmNet; Topology extraction

Indexed keywords


EID: 33748028818     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1137856.1137926     Document Type: Conference Paper
Times cited : (19)

References (6)
  • 2
    • 33244496340 scopus 로고    scopus 로고
    • Neighborhood-based topology recognition in sensor networks
    • ALGOSENSORS, Springer
    • S. P. Fekete, A. Kröller, D. Pfisterer, S. Fischer, and C. Buschmann. Neighborhood-based topology recognition in sensor networks. In ALGOSENSORS, volume 3121 of LNCS, pages 123-136. Springer, 2004.
    • (2004) LNCS , vol.3121 , pp. 123-136
    • Fekete, S.P.1    Kröller, A.2    Pfisterer, D.3    Fischer, S.4    Buschmann, C.5
  • 3
    • 33745818367 scopus 로고    scopus 로고
    • Topological hole detection in wireless sensor networks and its applications
    • S. Funke. Topological hole detection in wireless sensor networks and its applications. In Proc. DIALM-POMC, pages 44-53, 2005.
    • (2005) Proc. DIALM-POMC , pp. 44-53
    • Funke, S.1
  • 4
    • 33748067326 scopus 로고    scopus 로고
    • Hole detection or: How much geometry hides in connectivity?
    • these proceedings
    • S. Funke and C. Klein. Hole detection or: how much geometry hides in connectivity? In Proc. 22nd ACM Symp. Comput. Geom. (these proceedings), 2006.
    • (2006) Proc. 22nd ACM Symp. Comput. Geom.
    • Funke, S.1    Klein, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.