A new approach for boundary recognition in geometric sensor networks

Proceedings of the 17th Canadian Conference on Computational Geometry, CCCG 2005

Volumn , Issue , 2005, Pages 84-87

  Fekete, Sándor P ^a   Kaufmann, Michael ^b   Kröller, Alexander ^a   Lehmann, Katharina ^b  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; QUALITY CONTROL; SENSOR NETWORKS;

BOUNDARY RECOGNITION; CENTRALITY MEASURES; COMMUNICATION RADIUS; DISTRIBUTED PROTOCOLS; EXPERIMENTAL EVIDENCE; GEOMETRIC NETWORKS; POLYGONAL REGIONS; SELF ORGANIZATIONS;

SENSOR NODES;

EID: 84864371067     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. U. Brandes and T. Erlebach, editors. Network Analysis: Methodological Foundations, volume 3418 of LNCS. Springer, 2005.
2. S. P. Fekete, A. Kröller, S. Fischer, and D. Pfisterer. Deterministic boundary recognition for large geometric sensor networs, 2005. Manuscript.
3. S. P. Fekete, A. Kröller, D. Pfisterer, S. Fischer, and C. Buschmann. Neighborhood-based topology recognition in sensor networks. In Proc. First Workshop Algorithms for Sensor Networks (ALGOSENSORS), volume 3121 of LNCS, pages 123-136. Springer, 2004.
4. A. Kröller, S. P. Fekete, D. Pfisterer, S. Fischer, and C. Buschmann. Koordinatenfreies Lokationsbewusstsein. Information Technology, 47:70-78, 2005.
5. H. Solomon. Geometric Probability, volume 28 of Regional Conference Series in Applied Mathematics. SIAM, 1978.