Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Spatio Temporal Field Prediction Under Localization Uncertainty For Mobile Sensor Networks
Download Spatio Temporal Field Prediction Under Localization Uncertainty For Mobile Sensor Networks full books in PDF, epub, and Kindle. Read online Spatio Temporal Field Prediction Under Localization Uncertainty For Mobile Sensor Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Spatio-temporal Field Prediction Under Localization Uncertainty for Mobile Sensor Networks by : Mahdi Jadaliha
Download or read book Spatio-temporal Field Prediction Under Localization Uncertainty for Mobile Sensor Networks written by Mahdi Jadaliha and published by . This book was released on 2013 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spatial Uncertainty in Mobile and Sensor Networks by : Khuong Vu
Download or read book Spatial Uncertainty in Mobile and Sensor Networks written by Khuong Vu and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor networks have risen in importance in last several years. They have been deployed for several tasks, such as monitoring volcanoes, monitoring buildings and infrastructures, detecting enemy instrution in military, etc... Sensor location plays an important role in network quality. It has impact on different aspects, i.e., network connectivity, network coverage to name a few. However, exact sensor locations are rarely achieved. In the one hand, sensors may be misplaced during operations. On the other hand, sensor locations are kept uncertain due to privacy concerns. This raises the need for investigating sensor networks with the presence of sensor location uncertainty. This dissertation provides an analysis on sensor networks with the presence of uncertainty. First, we investigate network coverage and target localization and tracking using binary proximity sensors under sensor location uncertainty. A deterministic, polynomial-time algorithm is devised to compute the minimum sensing range for guaranteed coverage. Furthermore, algorithms are proposed for target localization and measurement model for target tracking in sensor networks. The approaches are based on the high order maximum Voronoi diagram of disks in the plane. Next, we study privacy in spatial queries. In contrast to sensor location uncertainty, uncertainty is introduced to spatial queries to protect user information. Essentially, the querying user is grouped with other users to form a cloak for which spatial queries are made, instead of a single query location. In this disseration, a framework for user identity privacy in $k$-nearest queries is proposed, in which we devise a $k$-anonymous, locality-preserving cloaking algorithm. Cloaks are also used in spatial skyline queries, which leads to different domination relationships. The disseration proposes geometric algorithms for spatial skyline queries with user location uncertainty. In addition, the fuzzy domination relationship in spatial skyline queries is investigated. Our work opens up new directions in spatial skyline queries with uncertainty.
Book Synopsis Spatio-temporal Awareness in Mobile Wireless Sensor Networks by : Isaac Amundson
Download or read book Spatio-temporal Awareness in Mobile Wireless Sensor Networks written by Isaac Amundson and published by . This book was released on 2010 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking by : Mao, Guoqiang
Download or read book Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking written by Mao, Guoqiang and published by IGI Global. This book was released on 2009-05-31 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.
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.
Book Synopsis Exploiting Temporal Stability and Low-rank Structure for Localization in Mobile Networks by : Swati Rallapalli
Download or read book Exploiting Temporal Stability and Low-rank Structure for Localization in Mobile Networks written by Swati Rallapalli and published by . This book was released on 2010 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Localization is a fundamental operation for many wireless networks. While GPS is widely used for location determination, it is unavailable in many environments either due to its high cost or the lack of line of sight to the satellites (e.g., indoors, under the ground, or in a downtown canyon). The limitations of GPS have motivated researchers to develop many localization schemes to infer locations based on measured wireless signals. However, most of these existing schemes focus on localization in static wireless networks. As many wireless networks are mobile (e.g., mobile sensor networks, disaster recovery networks, and vehicular networks), we focus on localization in mobile networks in this thesis. We analyze real mobility traces and find that they exhibit temporal stability and low-rank structure. Motivated by this observation, we develop three novel localization schemes to accurately determine locations in mobile networks: 1. Low Rank based Localization (LRL), which exploits the low-rank structure in mobility. 2. Temporal Stability based Localization (TSL), which leverages the temporal stability. 3. Temporal Stability and Low Rank based Localization (TSLRL), which incorporates both the temporal stability and the low-rank structure. These localization schemes are general and can leverage either mere connectivity (i.e., range-free localization) or distance estimation between neighbors (i.e., range-based localization). Using extensive simulations and testbed experiments, we show that our new schemes significantly outperform state-of-the-art localization schemes under a wide range of scenarios and are robust to measurement errors.
Book Synopsis Information-driven Cooperative Sampling Strategies for Spatial Estimation by Robotic Sensor Networks by : Rishi Graham
Download or read book Information-driven Cooperative Sampling Strategies for Spatial Estimation by Robotic Sensor Networks written by Rishi Graham and published by . This book was released on 2010 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Magnetic Communications: From Theory to Practice by : Fei Hu
Download or read book Magnetic Communications: From Theory to Practice written by Fei Hu and published by CRC Press. This book was released on 2018-07-24 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers comprehensively the theories and practical design of magnetic communications. It emphasizes the differences between it and RF communications. It first provides the models and signal propagation principles of magnetic communication systems. Then it describes the hardware architecture of the system, including transmitter, MODEM, inductors, coils, etc. Then, it discusses the corresponding communication software design principles and cases. Finally, it presents several types of practical implementations and applications.
Book Synopsis GPS and GNSS Technology in Geosciences by : George P. Petropoulos
Download or read book GPS and GNSS Technology in Geosciences written by George P. Petropoulos and published by Elsevier. This book was released on 2021-02-18 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: GPS and GNSS Technology in Geosciences offers an interdisciplinary approach to applying advances in GPS/GNSS technology for geoscience research and practice. As GPS/GNSS signals can be used to provide useful information about the Earth's surface characteristics and land surface composition, GPS equipment and services for commercial purposes continues to grow, thus resulting in new expectations and demands. This book provides case studies for a deeper understanding of the operation and principles of widely applied approaches and the benefits of the technology in everyday research and activities. - Presents processing, methods and techniques of GPS/GNSS implementation that are utilized in in-situ data collection in design and systems analysis - Offers an all-inclusive, critical overview of the state-of-the-art in different algorithms and techniques in GPS/GNSS - Addresses both theoretical and applied research contributions on the use of this technology in a variety of geoscience disciplines
Book Synopsis Introduction to AI Robotics, second edition by : Robin R. Murphy
Download or read book Introduction to AI Robotics, second edition written by Robin R. Murphy and published by MIT Press. This book was released on 2019-10-01 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia.
Book Synopsis An Introduction to Signal Detection and Estimation by : H. Vincent Poor
Download or read book An Introduction to Signal Detection and Estimation written by H. Vincent Poor and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.
Book Synopsis Location Estimation in Sensor Networks by : Neal Patwari
Download or read book Location Estimation in Sensor Networks written by Neal Patwari and published by . This book was released on 2005 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation for Robotics by : Timothy D. Barfoot
Download or read book State Estimation for Robotics written by Timothy D. Barfoot and published by Cambridge University Press. This book was released on 2017-07-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.
Book Synopsis Probabilistic Robotics by : Sebastian Thrun
Download or read book Probabilistic Robotics written by Sebastian Thrun and published by MIT Press. This book was released on 2005-08-19 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Book Synopsis Linear Parameter-Varying Control for Engineering Applications by : Andrew P. White
Download or read book Linear Parameter-Varying Control for Engineering Applications written by Andrew P. White and published by Springer Science & Business Media. This book was released on 2013-03-30 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this brief is the application of linear parameter-varying (LPV) control to a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance. An important step in LPV control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting functions tunes the controller to obtain the desired closed-loop response. The selection of appropriate weighting functions is difficult and sometimes appears arbitrary. In this brief, gain-scheduling control with engineering applications is covered in detail, including the LPV modeling, the control problem formulation, and the weighting function optimization. In addition, an iterative algorithm for obtaining optimal output weighting functions with respect to the H2 norm bound is presented in this brief. Using this algorithm, the selection of appropriate weighting functions becomes an automatic process. The LPV design and control synthesis procedures in this brief are illustrated using: • air-to-fuel ratio control for port-fuel-injection engines; • variable valve timing control; and • application to a vibration control problem. After reading this brief, the reader will be able to apply its concepts to design gain-scheduling controllers for their own engineering applications. This brief provides detailed step-by-step LPV modeling and control design strategies along with an automatic weight-selection algorithm so that engineers can apply state-of-the-art LPV control synthesis to solve their own engineering problems. In addition, this brief should serve as a bridge between the H-infinity and H2 control theory and the real-world application of gain-scheduling control.
Book Synopsis Introduction to Autonomous Mobile Robots, second edition by : Roland Siegwart
Download or read book Introduction to Autonomous Mobile Robots, second edition written by Roland Siegwart and published by MIT Press. This book was released on 2011-02-18 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.
