Adaptive Sampling And Forecasting With Mobile Sensor Networks

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Adaptive Sampling and Forecasting with Mobile Sensor Networks

Author : Han-Lim Choi
Publisher :
ISBN 13 :
Total Pages : 219 pages
Book Rating : 4.:/5 (428 download)

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Book Synopsis Adaptive Sampling and Forecasting with Mobile Sensor Networks by : Han-Lim Choi

Download or read book Adaptive Sampling and Forecasting with Mobile Sensor Networks written by Han-Lim Choi and published by . This book was released on 2009 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: (cont.) This work proposes the smoother form of the mutual information inspired by the conditional independence relations, and demonstrates its advantages over a simple extension of the state-of-the-art: (a) it does not require integration of differential equations for long time intervals, (b) it allows for the calculation of accumulated information on-the-fly, and (c) it provides a legitimate information potential field combined with spatial interpolation techniques. The primary benefits of the presented methods are confirmed with numerical experiments using the Lorenz-2003 idealistic chaos model.

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks

Author : Yunfei Xu
Publisher : Springer
ISBN 13 : 3319219219
Total Pages : 124 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks by : Yunfei Xu

Download or read book Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks written by Yunfei Xu and published by Springer. This book was released on 2015-10-27 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various sources of uncertainties to be integrated into an inferential framework effectively capturing all aspects of variability involved. The fully Bayesian approach also allows the most appropriate values for additional model parameters to be selected automatically by data, and the optimal inference and prediction for the underlying scalar field to be achieved. In particular, spatio-temporal Gaussian process regression is formulated for robotic sensors to fuse multifactorial effects of observations, measurement noise, and prior distributions for obtaining the predictive distribution of a scalar environmental field of interest. New techniques are introduced to avoid computationally prohibitive Markov chain Monte Carlo methods for resource-constrained mobile sensors. Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks starts with a simple spatio-temporal model and increases the level of model flexibility and uncertainty step by step, simultaneously solving increasingly complicated problems and coping with increasing complexity, until it ends with fully Bayesian approaches that take into account a broad spectrum of uncertainties in observations, model parameters, and constraints in mobile sensor networks. The book is timely, being very useful for many researchers in control, robotics, computer science and statistics trying to tackle a variety of tasks such as environmental monitoring and adaptive sampling, surveillance, exploration, and plume tracking which are of increasing currency. Problems are solved creatively by seamless combination of theories and concepts from Bayesian statistics, mobile sensor networks, optimal experiment design, and distributed computation.

Adaptive Sampling with Mobile Sensor Networks

Author : Shuo Huang
Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.:/5 (842 download)

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Book Synopsis Adaptive Sampling with Mobile Sensor Networks by : Shuo Huang

Download or read book Adaptive Sampling with Mobile Sensor Networks written by Shuo Huang and published by . This book was released on 2012 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Sampling for Spatial Prediction in Wireless Sensor Networks

Author : Van Linh Nguyen
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.:/5 (936 download)

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Book Synopsis Adaptive Sampling for Spatial Prediction in Wireless Sensor Networks by : Van Linh Nguyen

Download or read book Adaptive Sampling for Spatial Prediction in Wireless Sensor Networks written by Van Linh Nguyen and published by . This book was released on 2015 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Sampling with Mobile WSN

Author : Koushil Sreenath
Publisher :
ISBN 13 : 9780542466519
Total Pages : pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Adaptive Sampling with Mobile WSN by : Koushil Sreenath

Download or read book Adaptive Sampling with Mobile WSN written by Koushil Sreenath and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The spatiotemporally varying network topology of mobile sensor networks makes it very suitable for applications such as reconstruction of environmental fields through sampling at locations that maximally reduce the largest uncertainty in the field estimate. Mobile sensor networks comprise of multiple heterogeneous resources and a deadlock-free resource scheduling in the presence of shared and routing resources becomes necessary to schedule the most efficient (cost/energy/time) resource for a task. Location information is imperative in sensor networks for most applications for localized sensing where localizing the network adaptively with no additional hardware is important. Adaptive sampling approaches for spatially distributed static linear and Gaussian fields with mobile robotic sensors are formulated and experimentally validated. Resource scheduling algorithms for dispatching resources in a deadlock-free manner in systems with shared and routing resources are mathematically formulated and experimentally validated. Simultaneous and Adaptive localization algorithms for sensor network localization through simple geometric constraints are validated through simulations. (Abstract shortened by UMI.).

Handbook of Dynamic Data Driven Applications Systems

Author : Frederica Darema
Publisher : Springer Nature
ISBN 13 : 3031279867
Total Pages : 937 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Frederica Darema

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Frederica Darema and published by Springer Nature. This book was released on 2023-10-16 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

Mobile Sensor Networks and Control

Author : Derek A. Paley
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Mobile Sensor Networks and Control by : Derek A. Paley

Download or read book Mobile Sensor Networks and Control written by Derek A. Paley and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The control of mobile sensor networks uses sensor measurements to update a model of an unknown or estimated process, which in turn guides the collection of subsequent measurements--a feedback control framework called adaptive sampling. Applications for adaptive sampling exist in a wide range of settings, especially for unmanned or autonomous vehicles that can be deployed cheaply and in cooperative groups. The dynamics of mobile sensor platforms are often simplified to planar self-propelled particles subject to the ambient flow of the surrounding fluid. Sensor measurements are assimilated into continuous or discrete models of the process of interest, which in general can vary in space and time. The variability of the estimated process is one metric to score future candidate sampling trajectories, along with information- and uncertainty-based metrics. Sampling tasks are allocated to the network using centralized or decentralized optimization, in order to avoid redundant measurements and observational gaps.

Adaptive Sampling with Mobile WSN

Author : Koushil Sreenath
Publisher : Institution of Engineering and Technology
ISBN 13 : 9781849192576
Total Pages : 0 pages
Book Rating : 4.1/5 (925 download)

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Book Synopsis Adaptive Sampling with Mobile WSN by : Koushil Sreenath

Download or read book Adaptive Sampling with Mobile WSN written by Koushil Sreenath and published by Institution of Engineering and Technology. This book was released on 2011-02-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Sampling with Mobile WSN develops algorithms for optimal estimation of environmental parametric fields. With a single mobile sensor, several approaches are presented to solve the problem of where to sample next to maximally and simultaneously reduce uncertainty in the field estimate and uncertainty in the localisation of the mobile sensor while respecting the dynamics of the time-varying field and the mobile sensor. A case study of mapping a forest fire is presented. Multiple static and mobile sensors are considered next, and distributed algorithms for adaptive sampling are developed resulting in the Distributed Federated Kalman Filter. However, with multiple resources a possibility of deadlock arises and a matrix-based discrete-event controller is used to implement a deadlock avoidance policy. Deadlock prevention in the presence of shared and routing resources is also considered. Finally, a simultaneous and adaptive localisation strategy is developed to simultaneously localise static and mobile sensors in the WSN in an adaptive manner. Experimental validation of several of these algorithms is discussed throughout the book.

Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control

Author : Zhang Ren
Publisher : Springer Nature
ISBN 13 : 9811939985
Total Pages : 1902 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control by : Zhang Ren

Download or read book Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control written by Zhang Ren and published by Springer Nature. This book was released on 2022-07-29 with total page 1902 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2021), held in Shenzhen, China on January 19-22, 2022. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.

Handbook of Dynamic Data Driven Applications Systems

Author : Erik P. Blasch
Publisher : Springer Nature
ISBN 13 : 3030745686
Total Pages : 753 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Erik P. Blasch

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Erik P. Blasch and published by Springer Nature. This book was released on 2022-05-11 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University

Bayesian Compendium

Author : Marcel van Oijen
Publisher : Springer Nature
ISBN 13 : 3031660854
Total Pages : 261 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Bayesian Compendium by : Marcel van Oijen

Download or read book Bayesian Compendium written by Marcel van Oijen and published by Springer Nature. This book was released on with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Embedded and Networking Systems

Author : Gul N. Khan
Publisher : CRC Press
ISBN 13 : 1351831569
Total Pages : 294 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Embedded and Networking Systems by : Gul N. Khan

Download or read book Embedded and Networking Systems written by Gul N. Khan and published by CRC Press. This book was released on 2017-07-12 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embedded and Networking Systems: Design, Software, and Implementation explores issues related to the design and synthesis of high-performance embedded computer systems and networks. The emphasis is on the fundamental concepts and analytical techniques that are applicable to a range of embedded and networking applications, rather than on specific embedded architectures, software development, or system-level integration. This system point of view guides designers in dealing with the trade-offs to optimize performance, power, cost, and other system-level non-functional requirements. The book brings together contributions by researchers and experts from around the world, offering a global view of the latest research and development in embedded and networking systems. Chapters highlight the evolution and trends in the field and supply a fundamental and analytical understanding of some underlying technologies. Topics include the co-design of embedded systems, code optimization for a variety of applications, power and performance trade-offs, benchmarks for evaluating embedded systems and their components, and mobile sensor network systems. The book also looks at novel applications such as mobile sensor systems and video networks. A comprehensive review of groundbreaking technology and applications, this book is a timely resource for system designers, researchers, and students interested in the possibilities of embedded and networking systems. It gives readers a better understanding of an emerging technology evolution that is helping drive telecommunications into the next decade.

Springer Handbook of Ocean Engineering

Author : Manhar R. Dhanak
Publisher : Springer
ISBN 13 : 3319166492
Total Pages : 1344 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Springer Handbook of Ocean Engineering by : Manhar R. Dhanak

Download or read book Springer Handbook of Ocean Engineering written by Manhar R. Dhanak and published by Springer. This book was released on 2016-07-23 with total page 1344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is the definitive reference for the interdisciplinary field that is ocean engineering. It integrates the coverage of fundamental and applied material and encompasses a diverse spectrum of systems, concepts and operations in the maritime environment, as well as providing a comprehensive update on contemporary, leading-edge ocean technologies. Coverage includes an overview on the fundamentals of ocean science, ocean signals and instrumentation, coastal structures, developments in ocean energy technologies and ocean vehicles and automation. It aims at practitioners in a range of offshore industries and naval establishments as well as academic researchers and graduate students in ocean, coastal, offshore and marine engineering and naval architecture. The Springer Handbook of Ocean Engineering is organized in five parts: Part A: Fundamentals, Part B: Autonomous Ocean Vehicles, Subsystems and Control, Part C: Coastal Design, Part D: Offshore Technologies, Part E: Energy Conversion

Informatics Engineering and Information Science, Part III

Author : Azizah Abd Manaf
Publisher : Springer
ISBN 13 : 3642254624
Total Pages : 741 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Informatics Engineering and Information Science, Part III by : Azizah Abd Manaf

Download or read book Informatics Engineering and Information Science, Part III written by Azizah Abd Manaf and published by Springer. This book was released on 2011-11-10 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 4-Volume-Set, CCIS 0251 - CCIS 0254, constitutes the refereed proceedings of the International Conference on Informatics Engineering and Information Science, ICIEIS 2011, held in Kuala Lumpur, Malaysia, in November 2011. The 210 revised full papers presented together with invited papers in the 4 volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on e-learning, information security, software engineering, image processing, algorithms, artificial intelligence and soft computing, e-commerce, data mining, neural networks, social networks, grid computing, biometric technologies, networks, distributed and parallel computing, wireless networks, information and data management, web applications and software systems, multimedia, ad hoc networks, mobile computing, as well as miscellaneous topics in digital information and communications.

Wireless Sensor Networks

Author : Shafiullah Khan
Publisher : CRC Press
ISBN 13 : 1466506067
Total Pages : 549 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Wireless Sensor Networks by : Shafiullah Khan

Download or read book Wireless Sensor Networks written by Shafiullah Khan and published by CRC Press. This book was released on 2012-11-16 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks (WSNs) utilize fast, cheap, and effective applications to imitate the human intelligence capability of sensing on a wider distributed scale. But acquiring data from the deployment area of a WSN is not always easy and multiple issues arise, including the limited resources of sensor devices run with one-time batteries. Additional WSN concerns include the external environment, routing, data aggregation, and ensuring quality of service (QoS) and security. Solutions have been developed for various types of application scenarios, but many problems still remain as open research challenges. Wireless Sensor Networks: Current Status and Future Trends covers the various issues associated with WSNs, including their structure, activities, and applications. Bringing together the contributions of researchers and experts in the field, this book explores: Applications of WSNs, data-centric storage, environmental forest monitoring, and the fundamentals of wireless body area networks Mobile medium access control (MAC) protocols, cooperative diversity sensor systems, and WSNs operating in IEEE 802.11 networks Location and position estimation in WSNs, techniques used in localization algorithms, and localization schemes Energy-centric simulation and design space exploration The fundamentals of MAC protocols and specific requirements and problems Protocols and data gathering Privacy and security issues in WSNs, solutions based on watermarking, and proposed work on intrusion detection systems (IDS) in WSNs Reviewing current trends in research and development as well as future expectations in the relevant areas, this book is a valuable reference for students, graduates, academics, researchers of computer science, and engineers, whether working in professional organizations or research institutions.

Wireless Sensor Networks

Author : Hossam Mahmoud Ahmad Fahmy
Publisher : Springer Nature
ISBN 13 : 3030297004
Total Pages : 682 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Wireless Sensor Networks by : Hossam Mahmoud Ahmad Fahmy

Download or read book Wireless Sensor Networks written by Hossam Mahmoud Ahmad Fahmy and published by Springer Nature. This book was released on 2020-01-25 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second book by the author on WSNs focuses on the concepts of energy, and energy harvesting and management techniques. Definitions and terminologies are made clear without leaning on the relaxing assumption that they are already known or easily reachable, the reader is not to be diverted from the main course. Neatly drawn figures assist in viewing and imagining the offered topics. To make energy related topics felt and seen, the adopted technologies as well as their manufacturers are presented in details. With such a depth, this book is intended for a wide audience, it is meant to be helper and motivator, for the senior undergraduates, postgraduates, researchers, and practitioners; concepts and energy related applications are laid out, research and practical issues are backed by appropriate literature, and new trends are put under focus. For senior undergraduate students, it familiarizes with conceptual foundations and practical projects implementations. Also, it is intended for graduate students working on their thesis and in need of specific knowledge on WSNs and the related energy harvesting and management techniques. Moreover, it is targeting researchers and practitioners interested in features and applications of WSNs, and on the available energy harvesting and management projects and testbeds. Exercises at the end of each chapter are not just questions and answers; they are not limited to recapitulate ideas. Their design objective is not bound to be a methodical review of the provided concepts, but rather as a motivator for lot more of searching, finding, and comparing beyond what has been presented in the book.

Wireless Sensor Networks

Author : Ibrahiem M. M. El Emary
Publisher : CRC Press
ISBN 13 : 1466518103
Total Pages : 804 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Wireless Sensor Networks by : Ibrahiem M. M. El Emary

Download or read book Wireless Sensor Networks written by Ibrahiem M. M. El Emary and published by CRC Press. This book was released on 2013-08-28 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are many books available on WSNs, most are low-level, introductory books. The few available for advanced readers fail to convey the breadth of knowledge required for those aiming to develop next-generation solutions for WSNs. Filling this void, Wireless Sensor Networks: From Theory to Applications supplies comprehensive coverage of WSNs. In order to provide the wide-ranging guidance required, the book brings together the contributions of domain experts working in the various subfields of WSNs worldwide. This edited volume examines recent advances in WSN technologies and considers the theoretical problems in WSN, including issues with monitoring, routing, and power control. It also details methodologies that can provide solutions to these problems. The book’s 25 chapters are divided into seven parts: Data Collection Physical Layer and Interfacing Routing and Transport Protocols Energy-Saving Approaches Mobile and Multimedia WSN Data Storage and Monitoring Applications The book examines applications of WSN across a range of fields, including health, military, transportation, and mining. Addressing the main challenges in applying WSNs across all phases of our life, it explains how WSNs can assist in community development. Complete with a list of references at the end of each chapter, this book is ideal for senior undergraduate and postgraduate students, researchers, scholars, academics, industrial researchers, and practicing engineers working on WSNs. The text assumes that readers possess a foundation in computer networks, wireless communication, and basic electronics.