2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems 2012
DOI: 10.1109/dcoss.2012.64
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Efficient Graph Planarization in Sensor Networks and Local Routing Algorithm

Abstract: Abstract-In this paper, we propose an efficient planarization algorithm and a routing algorithm dedicated to Unit Disk Graphs whose nodes are localized using the Virtual Raw Anchor Coordinate system (VRAC). Our first algorithm computes a planar 2-spanner under light constraints on the edge lengths and induces a total exchange of at most 6n node identifiers. Its total computational complexity is O(n∆), with ∆ the maximum degree of the communication graph. The second algorithm that we present is a simple and eff… Show more

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Cited by 7 publications
(17 citation statements)
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“…We proved in (Huc et al, 2012) that under some conditions on the length of the edges the resulting graph G is planar and we discuss the stretch factor compared to the original graph G. Our aim in the following is to present a geographic routing algorithm on top of this planar graph that guarantee the delivery of the data. In the paper (Huc et al, 2012) we investigate some geometrical properties that imply that the graph G = ( V , E) is planar.…”
Section: Communication Graph Planarization In Vracmentioning
confidence: 99%
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“…We proved in (Huc et al, 2012) that under some conditions on the length of the edges the resulting graph G is planar and we discuss the stretch factor compared to the original graph G. Our aim in the following is to present a geographic routing algorithm on top of this planar graph that guarantee the delivery of the data. In the paper (Huc et al, 2012) we investigate some geometrical properties that imply that the graph G = ( V , E) is planar.…”
Section: Communication Graph Planarization In Vracmentioning
confidence: 99%
“…In the paper (Huc et al, 2012) we investigate some geometrical properties that imply that the graph G = ( V , E) is planar. Actually, the aim of these geometrical properties is to ensure that the following property is satisfied.…”
Section: Communication Graph Planarization In Vracmentioning
confidence: 99%
See 3 more Smart Citations