Network Topology Inference Using Higher-Order Statistical Characteristics of End-to-End Measured Delays

Network Topology Inference Using Higher-Order Statistical Characteristics of End-to-End Measured Delays

Network topology is important information for many network control and management applications. Network tomography infers network topology from end-to-end measured packet delays or losses, which is more feasible than internal cooperation-based methods and attracts many studies. Most of the existing...

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Bibliographic Details
Main Authors: Gaolei Fei, Jian Ye, Sheng Wen, Guangmin Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Higher-order cumulant
topology inference
end-to-end measurement
network tomography
Online Access:https://ieeexplore.ieee.org/document/9044849/

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