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Brief Announcement: A Fast Distributed Approximation Algorithm for Minimum Spanning Trees in the SINR Model

Authors: Maleq Khan; Gopal Pandurangan; Guanhong Pei; Anil Kumar S. Vullikanti;

Brief Announcement: A Fast Distributed Approximation Algorithm for Minimum Spanning Trees in the SINR Model

Abstract

We study the minimum spanning tree (MST) construction problem in wireless networks under the physical interference model based on SINR constraints. We develop the first distributed (randomized) O(μ)-approximation algorithm for MST, with the running time of O(Dlogn) (with high probability) where D denotes the diameter of the disk graph obtained by using the maximum possible transmission range, and $\mu=\log{\frac{d_{max}}{d_{min}}}$ denotes the "distance diversity" w.r.t. the largest and smallest distances between two nodes. (When $\frac{d_{max}}{d_{min}}$ is n-polynomial, μ=O(logn).)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
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