Distributed Fusion Estimation for Sensor Networks with Communication Constraints

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Publisher : Springer
ISBN 13 : 9811007950
Total Pages : 219 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis Distributed Fusion Estimation for Sensor Networks with Communication Constraints by : Wen-An Zhang

Download or read book Distributed Fusion Estimation for Sensor Networks with Communication Constraints written by Wen-An Zhang and published by Springer. This book was released on 2016-05-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.

On Distributed Estimation for Resource Constrained Wireless Sensor Networks

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Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis On Distributed Estimation for Resource Constrained Wireless Sensor Networks by : Alireza Sani

Download or read book On Distributed Estimation for Resource Constrained Wireless Sensor Networks written by Alireza Sani and published by . This book was released on 2017 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The accuracy of DES depends on many factors such as intensity of observation noises in sensors, quantization errors in sensors, available power and bandwidth of the network, quality of communication channels between sensors and the FC, and the choice of fusion rule in the FC. Taking into account all of these contributing factors and implementing a DES system which minimizes the MSE and satisfies all constraints is a challenging task. In order to probe into different aspects of this challenging task we identify and formulate the following three problems and address them accordingly:

Estimation with Applications to Tracking and Navigation

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Publisher : John Wiley & Sons
ISBN 13 : 0471465216
Total Pages : 583 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Estimation with Applications to Tracking and Navigation by : Yaakov Bar-Shalom

Download or read book Estimation with Applications to Tracking and Navigation written by Yaakov Bar-Shalom and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include: * Problems that apply theoretical material to real-world applications * In-depth coverage of the Interacting Multiple Model (IMM) estimator * Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators * Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.

Multisensor Fusion Estimation Theory and Application

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Publisher : Springer Nature
ISBN 13 : 9811594260
Total Pages : 229 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Multisensor Fusion Estimation Theory and Application by : Liping Yan

Download or read book Multisensor Fusion Estimation Theory and Application written by Liping Yan and published by Springer Nature. This book was released on 2020-11-11 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.

Distributed Estimation in Distributed Sensor Networks

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Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Distributed Estimation in Distributed Sensor Networks by : Kuo-Chu Chang

Download or read book Distributed Estimation in Distributed Sensor Networks written by Kuo-Chu Chang and published by . This book was released on 1986 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

iHorizon-Enabled Energy Management for Electrified Vehicles

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128150114
Total Pages : 431 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis iHorizon-Enabled Energy Management for Electrified Vehicles by : Clara Marina Martinez

Download or read book iHorizon-Enabled Energy Management for Electrified Vehicles written by Clara Marina Martinez and published by Butterworth-Heinemann. This book was released on 2018-09-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure. This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation. Addresses the level of integration of electrified powertrains Presents the state-of-the-art of electrified vehicle energy control Offers a novel concept able to perform dynamic speed profile and energy demand prediction

Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

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Publisher : CRC Press
ISBN 13 : 1040106072
Total Pages : 263 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment by : Hang Geng

Download or read book Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment written by Hang Geng and published by CRC Press. This book was released on 2024-08-26 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB. Features: Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. Provides theoretic values and engineering insights of the censored data and constrained network. Discusses performance evaluation of the presented multi-sensor fusion algorithms. Explores promising research directions on future multi-sensor fusion. This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

Wireless Sensor Networks

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Publisher : John Wiley & Sons
ISBN 13 : 9780470061817
Total Pages : 416 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Wireless Sensor Networks by : Ananthram Swami

Download or read book Wireless Sensor Networks written by Ananthram Swami and published by John Wiley & Sons. This book was released on 2007-10-24 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wireless sensor network (WSN) uses a number of autonomous devices to cooperatively monitor physical or environmental conditions via a wireless network. Since its military beginnings as a means of battlefield surveillance, practical use of this technology has extended to a range of civilian applications including environmental monitoring, natural disaster prediction and relief, health monitoring and fire detection. Technological advancements, coupled with lowering costs, suggest that wireless sensor networks will have a significant impact on 21st century life. The design of wireless sensor networks requires consideration for several disciplines such as distributed signal processing, communications and cross-layer design. Wireless Sensor Networks: Signal Processing and Communications focuses on the theoretical aspects of wireless sensor networks and offers readers signal processing and communication perspectives on the design of large-scale networks. It explains state-of-the-art design theories and techniques to readers and places emphasis on the fundamental properties of large-scale sensor networks. Wireless Sensor Networks: Signal Processing and Communications : Approaches WSNs from a new angle – distributed signal processing, communication algorithms and novel cross-layer design paradigms. Applies ideas and illustrations from classical theory to an emerging field of WSN applications. Presents important analytical tools for use in the design of application-specific WSNs. Wireless Sensor Networks will be of use to signal processing and communications researchers and practitioners in applying classical theory to network design. It identifies research directions for senior undergraduate and graduate students and offers a rich bibliography for further reading and investigation.

Contributions to Distributed Detection and Estimation Over Sensor Networks

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Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis Contributions to Distributed Detection and Estimation Over Sensor Networks by : Gene Whipps

Download or read book Contributions to Distributed Detection and Estimation Over Sensor Networks written by Gene Whipps and published by . This book was released on 2017 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks have matured over the last several years from popular research and development platforms to commercially-available sensors and systems. In many applications, wireless sensor networks have size, weight, power, and cost limitations. These constraints directly affect the ability of sensor nodes to adequately process and reliably communicate information within the sensor network. This dissertation examines aspects of distributed detection and estimation over a sensor network while considering limitations inherent in wireless networks. First, we consider the problem of distributed detection from a large network of sensors and introduce a realistic network model. Sensor nodes make individual decisions from their local observation and then communicate these decisions through a shared and imperfect communications channel to a central decision node. The key difference from previous research is the network model allows the decision rule to leverage errors in the channel to improve detection performance. We derive analytical expressions that characterize the detection performance of the system with respect to both sensor density and communications delay. We show that the detection performance improves with network density when sensor nodes are appropriately censored and desensitized, despite increasing message collisions. In addition, we show that detection performance using the protocol model, with imperfect communications, rapidly converges to the perfect communications case as the number of communication slots increase.

Wireless Sensor Networks

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Publisher : Springer
ISBN 13 : 3319123793
Total Pages : 96 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Wireless Sensor Networks by : Cailian Chen

Download or read book Wireless Sensor Networks written by Cailian Chen and published by Springer. This book was released on 2014-12-10 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief evaluates the cooperative effort of sensor nodes to accomplish high-level tasks with sensing, data processing and communication. The metrics of network-wide convergence, unbiasedness, consistency and optimality are discussed through network topology, distributed estimation algorithms and consensus strategy. Systematic analysis reveals that proper deployment of sensor nodes and a small number of low-cost relays (without sensing function) can speed up the information fusion and thus improve the estimation capability of wireless sensor networks (WSNs). This brief also investigates the spatial distribution of sensor nodes and basic scalable estimation algorithms, the consensus-based estimation capability for a class of relay assisted sensor networks with asymmetric communication topology, and the problem of filter design for mobile target tracking over WSNs. From the system perspective, the network topology is closely related to the capability and efficiency of network-wide scalable distributed estimation. Wireless Sensor Networks: Distributed Consensus Estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. Advanced-level students studying computer science and electrical engineering will also find the content helpful.