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Titlebook: Algorithms for Sensor Systems; 6th International Wo Christian Scheideler Conference proceedings 2010 Springer Berlin Heidelberg 2010 algori

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Aufgaben und Elemente der Vorrichtungen,or nearby sensors. The algorithm is anchor-free and does not require particular network topology, rigidity of the underlying communication graph, or high average connectivity. The algorithm scales well to large and sparse networks with complex topologies and outperforms previous algorithms when the
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https://doi.org/10.1007/978-3-662-41825-3niques are dependent on hardware that is sometimes unavailable (e.g. GPS), or on sophisticated virtual localization calculus which have a costly overhead..Instead of actually localizing nodes in the physical two-dimensional Euclidean space, we use directly the raw distance to a set of anchors to pro
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Improved Local Algorithms for Spanner Construction,present a very simple . algorithm that, given ., constructs a subgraph of . of degree at most 11 that is a geometric spanner of . with stretch factor 2.86, and hence a geometric spanner of . with stretch factor < 7. This algorithm gives an . time centralized algorithm for constructing a subgraph of
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Brief Announcement: Hierarchical Neighbor Graphs: A Sparse Connected Structure for Euclidean Point neighbor graphs. The structure has a flavor of hierarchical clustering and requires only local knowledge and minimal computation at each node to be formed and repaired. Hence it is a suitable interconnection model for an ad hoc wireless network. Our structure has expected constant degree, diameter l
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Scheduling Multicast Transmissions under SINR Constraints,cently. While previous work has considered the unicast case where each transmission has one sender and one receiver, we consider the setting of multicast requests where each transmission has one sender and a set of receivers. A set of multicast transmissions can be scheduled in the same round if the
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