Wireless Indoor Localization
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Wireless Indoor Localization
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Author : Chenshu Wu
language : en
Publisher: Springer
Release Date : 2018-08-22
Wireless Indoor Localization written by Chenshu Wu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-22 with Computers categories.
This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas.
Urban Informatics
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Author : Wenzhong Shi
language : en
Publisher: Springer Nature
Release Date : 2021-04-06
Urban Informatics written by Wenzhong Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Social Science categories.
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Indoor Location Based Services
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Author : Martin Werner
language : en
Publisher: Springer
Release Date : 2014-11-29
Indoor Location Based Services written by Martin Werner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-29 with Computers categories.
This book delivers concise coverage of classical methods and new developments related to indoor location-based services. It collects results from isolated domains including geometry, artificial intelligence, statistics, cooperative algorithms, and distributed systems and thus provides an accessible overview of fundamental methods and technologies. This makes it an ideal starting point for researchers, students, and professionals in pervasive computing. Location-based services are services using the location of a mobile computing device as their primary input. While such services are fairly easy to implement outside buildings thanks to accessible global positioning systems and high-quality environmental information, the situation inside buildings is fundamentally different. In general, there is no simple way of determining the position of a moving target inside a building without an additional dedicated infrastructure. The book’s structure is learning oriented, starting with a short introduction to wireless communication systems and basic positioning techniques and ending with advanced features like event detection, simultaneous localization and mapping, and privacy aspects. Readers who are not familiar with the individual topics will be able to work through the book from start to finish. At the same time all chapters are self-contained to support readers who are already familiar with some of the content and only want to pick selected topics that are of particular interest.
Introduction To Modern Navigation Systems
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Author : Esmat Bekir
language : en
Publisher: World Scientific Publishing Company
Release Date : 2007
Introduction To Modern Navigation Systems written by Esmat Bekir and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Technology & Engineering categories.
The emerging technology of very inexpensive inertial sensors is available for navigation as never before. The book lays the analytical foundation for understanding and implementing the navigation equations. It starts by demystifying the central theme of the frame rotation using such algorithms as the quaternions, the rotation vector and the Euler angles. After developing navigation equations, the book introduces the computational issues and discusses the physical aspects that are tied to implementing these equations. The book then explains alignment techniques.Introduction to Modern Navigation Systems offers an efficient algorithm for polar navigation. It also shows how to enhance the performance of the inertial system when aided by the Global Positioning System. It is an appropriate textbook for senior undergraduate and graduate students in aeronautical and electrical engineering. It could also be used as a reference book for practitioners in the field.
Intelligent Data Communication Technologies And Internet Of Things
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Author : D. Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2019-11-10
Intelligent Data Communication Technologies And Internet Of Things written by D. Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-10 with Computers categories.
This book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things, presenting state-of-the-art research in frameworks, algorithms, methodologies, techniques and applications associated with data engineering and wireless distributed communication technologies. In addition, it discusses potential topics like performance analysis, wireless communication networks, data security and privacy, human computer interaction, 5G Networks, and smart automated systems, which will provide insights for the evolving data communication technologies. In a nutshell, this proceedings book compiles novel and high-quality research that offers innovative solutions for communications in IoT networks.
Machine Learning Algorithm For Wireless Indoor Localization
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Author : Osamah Ali Abdullah
language : en
Publisher:
Release Date : 2018
Machine Learning Algorithm For Wireless Indoor Localization written by Osamah Ali Abdullah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
Smartphones equipped with Wi-Fi technology are widely used nowadays. Due to the need for inexpensive indoor positioning systems (IPSs), many researchers have focused on Wi-Fi-based IPSs, which use wireless local area network received signal strength (RSS) data that are collected at distinct locations in indoor environments called reference points. In this study, a new framework based on symmetric Bregman divergence, which incorporates k-nearest neighbor (kNN) classification in signal space, was proposed. The coordinates of the target were determined as a weighted combination of the nearest fingerprints using Jensen-Bregman divergences, which unify the squared Euclidean and Mahalanobis distances with information-theoretic Jensen-Shannon divergence measures. To validate our work, the performance of the proposed algorithm was compared with the probabilistic neural network and multivariate Kullback-Leibler divergence. The distance error for the developed algorithm was less than 1 m.
Indoor Positioning Technologies
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Author : Rainer Mautz
language : en
Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG
Release Date : 2012
Indoor Positioning Technologies written by Rainer Mautz and has been published by Sudwestdeutscher Verlag Fur Hochschulschriften AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
In the age of automation the ability to navigate persons and devices in indoor environments has become increasingly important for a rising number of applications. However, we are still far away from achieving cheap provision of global indoor positioning with an accuracy of 1 meter or better. With the emergence of global satellite positioning systems, the performance of outdoor positioning has become excellent, but many mass market applications require seamless positioning capabilities in all environments. Therefore indoor positioning has become a focus of research and development during the past decade. This book categorizes all sighted indoor positioning approaches into 13 distinct technologies and describes the measuring principles of each. Individual approaches are characterized and key performance parameters are quantified.
Machine Learning For Indoor Localization And Navigation
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Author : Saideep Tiku
language : en
Publisher: Springer Nature
Release Date : 2023-06-29
Machine Learning For Indoor Localization And Navigation written by Saideep Tiku and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Technology & Engineering categories.
While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve the accuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book: Provides comprehensive coverage of the application of machine learning to the domain of indoor localization; Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization; Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.
Wireless Indoor Localization Based On Passive Rfid Tags
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Author : Alseny Diallo
language : en
Publisher:
Release Date : 2019
Wireless Indoor Localization Based On Passive Rfid Tags written by Alseny Diallo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Global Positioning System categories.
Location-based services (LBSs) are significantly becoming a vital part of life. Global Navigation Satellite Systems such as GPS have been used in a wide range of applications, from transport navigation, and synchronization of telecommunications networks. GPS works remarkably well in outdoor positioning. However, GPS does not perform well when the target object is close to walls, buildings, trees, or indoor environments. This is because the signal from the GPS satellites is too weak to penetrate an obstacle like concrete walls and buildings. Due to the complicated characteristics of indoor environments, the development of an indoor localization technique is always linked with a set of difficulties. For instance, indoor localization systems are challenged by the influence of obstacles like equipment, movement of human beings, doors, walls, and more. To overcome those challenges, we propose an indoor localization system that uses radio frequency identification tags or RFID tags to localize moving targets. Our indoor localization algorithm derives the accurate location of a target object using a set of RFID tags deployed in a predefined area. Our localization algorithm derives the target device’s location based on the signal it receives from surrounding tags. Depending on the number of tags in the surrounding area, the algorithm uses different formulas to calculate the target’s location. Specifically, there are three different cases. A case where a target object is nearby one tag, two tags or three tags. The localization algorithm works well when an area is well covered by tags. To optimize the coverage using a limited number of tags, we developed a greedy algorithm that uses a novel score function to help deploy the RFID tags in a predefined area to guarantee maximum coverage. This approach is evaluated using both simulation and real system use cases. Additionally, we designed a system deployment that uses the localization algorithm and the tag deployment algorithm to track several target objects in a 2-dimensional space. The system is proven to be reliable, fault-tolerant and scale very well with an increase in workload. The results show our approach is effective in localizing target objects with high accuracy.