Description: Distributed Network Structure Estimation Using Consensus Methods, Paperback by Zhang, Sai; Tepedelenlioglu, Cihan; Spanias, Andreas; Banavar, Mahesh, ISBN 3031005562, ISBN-13 9783031005565, Brand New, Free shipping in the US 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.
Price: 71.04 USD
Location: Jessup, Maryland
End Time: 2024-11-24T09:32:34.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Original Language: English
Book Title: Distributed Network Structure Estimation Using Consensus Methods
Number of Pages: Xi, 76 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2018
Topic: General, Electrical, Telecommunications
Illustrator: Yes
Genre: Technology & Engineering
Item Weight: 6.8 Oz
Item Length: 9.3 in
Author: Andreas Spanias, Mahesh Banavar, Sai Zhang, Cihan Tepedelenlioglu
Item Width: 7.5 in
Book Series: Synthesis Lectures on Communications Ser.
Format: Trade Paperback