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Distributed Network Structure Estimation Using Consensus Methods, Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh Banavar


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Автор: Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh Banavar
Название:  Distributed Network Structure Estimation Using Consensus Methods
ISBN: 9781681732923
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1681732920
Обложка/Формат: Hardcover
Страницы: 88
Вес: 0.38 кг.
Дата издания: 30.03.2018
Серия: Synthesis lectures on communications
Язык: English
Размер: 235 x 191 x 6
Ключевые слова: Computer networking & communications,Network management,Distributed systems,WAP networking & applications, COMPUTERS / Data Transmission Systems / Wireless,COMPUTERS / Networking / General,TECHNOLOGY & ENGINEERING / Sensors
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Поставляется из: Англии
Описание: 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 for estimating 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.

Distributed Network Structure Estimation Using Consensus Methods

Автор: Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh Banavar
Название: Distributed Network Structure Estimation Using Consensus Methods
ISBN: 1681732904 ISBN-13(EAN): 9781681732909
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
Наличие на складе: Невозможна поставка.
Описание: 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 for estimating 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.

Architectural Transformations in Network Services and  Distributed Systems

Автор: Andriy Luntovskyy; Josef Spillner
Название: Architectural Transformations in Network Services and Distributed Systems
ISBN: 3658148403 ISBN-13(EAN): 9783658148409
Издательство: Springer
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Цена: 55890.00 T
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Описание: With the given work we decided to help not only the readers but ourselves, as the professionals who actively involved in the networking branch, with understanding the trends that have developed in recent two decades in distributed systems and networks. Important architecture transformations of distributed systems have been examined.

Distributed Network Data: From Hardware to Data to Visualization

Автор: Allan Alasdair, Bradford Kipp
Название: Distributed Network Data: From Hardware to Data to Visualization
ISBN: 1449360262 ISBN-13(EAN): 9781449360269
Издательство: Wiley
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Цена: 16890.00 T
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Описание: Build your own distributed sensor network to collect, analyze, and visualize real-time data about our human environment - including noise level, temperature, and people flow. With this hands-on book, you`ll learn how to turn your project idea into working hardware, using the easy-to-learn Arduino microcontroller and off-the-shelf sensors.


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