Title | ||
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Improving maximum-likelihood-based topology inference by sequentially inserting leaf nodes. |
Abstract | ||
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Understanding the topology of a network is very important for network control and management. There have been several methods designed for estimating network topology from end-to-end measurements. Among these methods, the maximum-likelihood-based topology inference method is superior to suboptimal and pair-merging approaches, because it is capable of finding the global optimal topology. However, t... |
Year | DOI | Venue |
---|---|---|
2011 | 10.1049/iet-com.2010.0455 | IET Communications |
Keywords | Field | DocType |
maximum likelihood estimation,radio networks,radiofrequency interference,telecommunication network management,telecommunication network topology,trees (mathematics) | Mathematical optimization,Computer network,Binary tree,Maximum likelihood,Algorithm,Network topology,Hypertree network,Network control,Network management,Mathematics,Topology inference | Journal |
Volume | Issue | ISSN |
5 | 15 | 1751-8628 |
Citations | PageRank | References |
1 | 0.40 | 13 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gaolei Fei | 1 | 3 | 3.14 |
Guang-min Hu | 2 | 87 | 19.78 |