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標(biāo)題: Titlebook: Distributed Network Structure Estimation Using Consensus Methods; Sai Zhang,Cihan Tepedelenlioglu,Mahesh Banavar Book 2018 Springer Nature [打印本頁]

作者: 氣泡    時間: 2025-3-21 17:32
書目名稱Distributed Network Structure Estimation Using Consensus Methods影響因子(影響力)




書目名稱Distributed Network Structure Estimation Using Consensus Methods影響因子(影響力)學(xué)科排名




書目名稱Distributed Network Structure Estimation Using Consensus Methods網(wǎng)絡(luò)公開度




書目名稱Distributed Network Structure Estimation Using Consensus Methods網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Network Structure Estimation Using Consensus Methods被引頻次




書目名稱Distributed Network Structure Estimation Using Consensus Methods被引頻次學(xué)科排名




書目名稱Distributed Network Structure Estimation Using Consensus Methods年度引用




書目名稱Distributed Network Structure Estimation Using Consensus Methods年度引用學(xué)科排名




書目名稱Distributed Network Structure Estimation Using Consensus Methods讀者反饋




書目名稱Distributed Network Structure Estimation Using Consensus Methods讀者反饋學(xué)科排名





作者: 喪失    時間: 2025-3-21 21:40
https://doi.org/10.1057/9780230270619ee distribution usually follows power-law degree distribution [146]. Therefore the topology of the network such as random topology and tree topology can be inferred from the degree distribution. Note that part of the content in this chapter is presented in [147].
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作者: 使服水土    時間: 2025-3-22 05:33
1932-1244 e, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WS
作者: 慢跑    時間: 2025-3-22 09:47
1932-1244 egion of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algor978-3-031-00556-5978-3-031-01684-4Series ISSN 1932-1244 Series E-ISSN 1932-1708
作者: Relinquish    時間: 2025-3-22 16:25
Book 2018sensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm forestimating the center and the coverage region of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algor
作者: Relinquish    時間: 2025-3-22 17:54

作者: facetious    時間: 2025-3-22 22:42
Distributed Network Structure Estimation Using Consensus Methods
作者: tenosynovitis    時間: 2025-3-23 04:29
Synthesis Lectures on Communicationshttp://image.papertrans.cn/e/image/281928.jpg
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作者: Schlemms-Canal    時間: 2025-3-23 16:16
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.
作者: 滲透    時間: 2025-3-23 18:18
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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作者: 的是兄弟    時間: 2025-3-24 13:07
978-3-031-00556-5Springer Nature Switzerland AG 2018
作者: CLEAR    時間: 2025-3-24 17:53
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
作者: Ledger    時間: 2025-3-24 19:36
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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作者: dragon    時間: 2025-3-25 13:23
Conclusions,sensus 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 th
作者: 肌肉    時間: 2025-3-25 18:16
Continuous Hemofiltration in Acute Renal Failure,his knowledge is infrequently discussed in the clinical arena, with a rush towards definition of lesions based on limited analysis. It provides a ready single source of the most important basic science subjects pertaining to the valve, and the pathologies found therein, and thus a more complete unde
作者: 老人病學(xué)    時間: 2025-3-25 20:57

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作者: 急急忙忙    時間: 2025-3-26 05:08
Mariner 10, 1973 eine neue, besser ausgerüstete Venus-Sonde, die — erstmals in der kurzen Geschichte der Astronautik — die Schwerkraft eines Planeten ausnutzen sollte, um zu einem anderen — Merkur — weiterzufliegen. Mit einer Mission wollten die NASA-Techniker kurz hintereinander die beiden innerhalb der Erdba
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作者: 陰謀    時間: 2025-3-26 14:24
Book 2014h can give rise to the endodermal, ectodermal, and mesodermal lineages; multipotent stem cells, which can generate all cells in a particular lineage and unipotent stem cells, which can give rise to only one cell type. This volume also examines cancer stem cells, tumor-initiating cells which possesse
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作者: expire    時間: 2025-3-27 05:26
Bing Yanes Entlüften feuchter Innenr?ume weit effektiver ist als über natürliche Diffusion eine Austrocknung herbeizuführen. Schlie?lich werden konstruktive Grundlagen für das richtige Dimensionieren vorgeh?ngter hinterlüfteter Fassaden erl?utert und wieder am Beispiel von WPC-Paneelen demonstriert. Das Kap
作者: 積習(xí)難改    時間: 2025-3-27 12:36
Alfred Puck,Horst Wurtingerfelt wird, einer festen Gr??e zuzustreben scheint. Oder wir betrachten die Lebenserwartung eines neugeborenen Kindes. Ob es 75, 80 oder 85 Jahre alt werden wird, kann niemand vorhersagen. Eine Lebensversicherung kann uns aber anhand von Sterbetafeln ausrechnen, welcher Anteil von Neugeborenen, z.B.
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