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Geometrically aware communication in random wireless networks
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Source Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing table of contents
St. John's, Newfoundland, Canada
SESSION: Wireless table of contents
Pages: 310 - 319  
Year of Publication: 2004
ISBN:1-58113-802-4
Authors
Gady Kozma  Weizmann Institute of Science, Rehovot, Israel
Zvi Lotker  INRIA, Sophia Antipolis, France
Micha Sharir  Tel Aviv University, Tel-Aviv, Israel and New York University, New York, NY
Gideon Stupp  Technion, Haifa, Israel
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Some of the first routing algorithms for position-aware wireless networks used the Delaunay triangulation of the point-locations of the network's nodes as the underlying connectivity graph. Later on these solutions were considered impractical because the Delaunay triangulation may in general contain arbitrarily long edges and because calculating the Delaunay triangulation may require a global view of the network. Many other algorithms were then suggested for geometric routing, often assuming random placement of network nodes for analysis or simulation [27, 5, 28, 15]. But as we show, when the nodes are uniformly placed in the unit disk the Delaunay triangulation does not contain long edges, it is easy to compute locally and it is in many ways optimal for geometric routing and flooding.In particular, we prove that with high probability the maximal length of an edge in Del(P), the Delaunay triangulation of a set P of n nodes uniformly placed in the unit disk, is O(3√3log novern), and that the expected sum of squares of all the edges in Del(P) is O(1). These geometric results imply that for wireless networks, randomly distributed in a unit disk (1) computing the Delaunay triangulation locally is asymptotically easy; (2) simple "face routing" through the Delaunay triangulation optimizes, up to poly-logarithmic factors, the energy load on the nodes, and (3) flooding the network, an operation quite common in sensor nets, is with high probability optimal up to a constant factor. The last property is particularly important for geocasting because the Delaunay triangulation is known to be a spanner.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Gady Kozma: colleagues
Zvi Lotker: colleagues
Micha Sharir: colleagues
Gideon Stupp: colleagues