2015
DOI: 10.1007/978-3-662-46078-8_12
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Local Routing in Convex Subdivisions

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Cited by 3 publications
(12 citation statements)
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“…Consequently, to guarantee delivery on classes of graphs beyond triangulations requires additional information provided, for example, by predecessor-awareness or state bits modified dynamically during routing. Using a single state bit (and without predecessor-awareness), Bose et al [4] presented a deterministic local geometric routing algorithm called OneBit that guarantees delivery on convex subdivisions (assuming general position of vertex coordinates). The key observation is that if we draw a vertical line through the destination, due to the geometry of convex faces, we can route along the boundary of an ever-decreasing closed region that contains the destination.…”
Section: Low Memory Results Overviewmentioning
confidence: 99%
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“…Consequently, to guarantee delivery on classes of graphs beyond triangulations requires additional information provided, for example, by predecessor-awareness or state bits modified dynamically during routing. Using a single state bit (and without predecessor-awareness), Bose et al [4] presented a deterministic local geometric routing algorithm called OneBit that guarantees delivery on convex subdivisions (assuming general position of vertex coordinates). The key observation is that if we draw a vertical line through the destination, due to the geometry of convex faces, we can route along the boundary of an ever-decreasing closed region that contains the destination.…”
Section: Low Memory Results Overviewmentioning
confidence: 99%
“…Various models represent wireless networks as a graph, representing nodes as points in the plane and direct wireless communication links as edges connecting the corresponding pairs of nodes. The inherent geometry of these graphs enables efficient routing algorithms to be developed (e.g., [2,4,5,6,8,10]) using fewer resources (memory, computational, etc.) than is possible without geometry in general graphs.…”
Section: Motivationmentioning
confidence: 99%
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