Distributed Network Structure Estimation Using Consensus Methods

Language: English

Published by Springer, Springer International Publishing Mär 2018, 2018

3031005562 / 9783031005565

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This item is printed on demand - Print on Demand Titel. Neuware -The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, 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 WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus 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 algorithms is analyzed theoretically, and simulations are performed and presented to validate the theoretical results. In this book, we also describe how the introduced algorithms can be used to learn global data information and the global data region.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 92 pp. Englisch.…

Seller Inventory # 9783031005565

Title
Distributed Network Structure Estimation Using Consensus Methods
Author
Sai Zhang
Publisher
Springer, Springer International Publishing Mär 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031005562
ISBN 13
9783031005565
Item weight
190 grams
Dimensions
235x191x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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