Titlebook: Distributed Network Structure Estimation Using Consensus Methods; Sai Zhang,Cihan Tepedelenlioglu,Mahesh Banavar Book 2018 Springer Nature

匍匐前進

Schlemms-Canal

Great Britain and Northern Irelandsensus estimation algorithms and related topics and applications are introduced. The mathematical background of methods used in consensus-based WSN framework is reviewed in Chapter 2. A brief review on graph theory is given, and existing distributed consensus methods and algorithms for estimating the structure of network are described.

滲透

Network Center and Coverage Region Estimation,age region is defined to be the smallest covering sphere. Therefore, the center and radius characterize the coverage region. Note that part of the content in this chapter is presented in [136, 148, 149].

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accordance

支柱

的是兄弟

978-3-031-00556-5Springer Nature Switzerland AG 2018

CLEAR

https://doi.org/10.1057/9780230270619x of a WSN is introduced. Degree distribution and degree matrix are important metrics to characterize the structure of networks and are used in several applications [144-146]. For example. the knowledge of degree distribution and degree matrix can be used to infer the properties of distributed netwo

Ledger

Great Britain and Northern Irelandage region is defined to be the smallest covering sphere. Therefore, the center and radius characterize the coverage region. Note that part of the content in this chapter is presented in [136, 148, 149].

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