Indoor Localization Techniques Based On Wireless Sensor Networks
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Indoor Localization Techniques Based On Wireless Sensor Networks
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Author : Hyo-Sung Ahn
language : en
Publisher:
Release Date : 2009
Indoor Localization Techniques Based On Wireless Sensor Networks written by Hyo-Sung Ahn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
In this chapter, we presented a set of classifications of indoor localization techniques. We generated categories according to measurement attribute, location algorithms, and communication protocols. The classifications presented in this chapter provide a compact form of overview on WSN-based indoor localizations. Then, based on the classifications, we introduced server-based and range-based localization systems that can be used for the indoor service robot. Specifically, we presented UWB, Wi-Fi, ZigBee, and CSS-based localization systems. From actual experimental tests, however we found that the existing WSN-based methods have their own disadvantage. That is, Ubisense system is expensive and needs heavy hardware equipment. The Wi-Fi system (Ekahau) has a low accuracy and is only useful for the room-level localization. The CSS-based system is too expensive. Thus, this chapter introduced a localization method based on received signal strength index (RSSI).
Indoor Localization In Wireless Sensor Networks
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Author :
language : en
Publisher:
Release Date : 2008
Indoor Localization In Wireless Sensor Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Wireless sensor networks categories.
We considered the issue of indoor localization through the use of wireless sensor networks (WSN). We value not necessary the algorithm that provides the best accuracy but the one that provides a good enough level of accuracy in a simple and efficient manner. In the first part of our work we examined some state-of-the-art localization techniques that are deployable on wireless sensor motes. These techniques are evaluated to a set of criteria that an indoor WSN-based localization application must consider. In our investigation, we considered not only accuracy but many other factors that determine a suitable indoor WSN-based localization system. These factors among other things determine energy efficiency. We broadly separate the criteria list into two categories: efficiency-based and accuracy-based. We discovered that one of the techniques, Ecolocation, evaluates quite well to the efficiency-based criteria, but the evaluation of the accuracy-based criterions is not as promising. However, the inherent simplicity and potential for good performance (based on open environment results) make the algorithm quite attractive. We proceeded to modify the algorithm to improve its accuracy while maintaining its positive qualities. Our Weighted-Constraints algorithm, named as such due to the nature of the modification, performs in terms of average error 13.1% better than the original Ecolocation algorithm in an open environment. Furthermore, our modified algorithm shows it is more robust to noise compared to the original algorithm by perform on average 21.2% better in a noisy environment.
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.
Localization Algorithms And Strategies For Wireless Sensor Networks Monitoring And Surveillance Techniques For Target Tracking
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Author : Mao, Guoqiang
language : en
Publisher: IGI Global
Release Date : 2009-05-31
Localization Algorithms And Strategies For Wireless Sensor Networks Monitoring And Surveillance Techniques For Target Tracking written by Mao, Guoqiang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-31 with Computers categories.
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.
Proceeding Of International Conference On Intelligent Communication Control And Devices
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Author : Rajesh Singh
language : en
Publisher: Springer
Release Date : 2016-09-17
Proceeding Of International Conference On Intelligent Communication Control And Devices written by Rajesh Singh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-17 with Computers categories.
The book presents high-quality research papers presented at the first international conference, ICICCD 2016, organised by the Department of Electronics, Instrumentation and Control Engineering of University of Petroleum and Energy Studies, Dehradun on 2nd and 3rd April, 2016. The book is broadly divided into three sections: Intelligent Communication, Intelligent Control and Intelligent Devices. The areas covered under these sections are wireless communication and radio technologies, optical communication, communication hardware evolution, machine-to-machine communication networks, routing techniques, network analytics, network applications and services, satellite and space communications, technologies for e-communication, wireless Ad-Hoc and sensor networks, communications and information security, signal processing for communications, communication software, microwave informatics, robotics and automation, optimization techniques and algorithms, intelligent transport, mechatronics system, guidance and navigation, algorithms, linear/non-linear control, home automation, sensors, smart cities, control systems, high performance computing, cognition control, adaptive control, distributed control, prediction models, hybrid control system, control applications, power system, manufacturing, agriculture cyber physical system, network control system, genetic control based, wearable devices, nano devices, MEMS, bio-inspired computing, embedded and real-time software, VLSI and embedded systems, FPGA, digital system and logic design, image and video processing, machine vision, medical imaging, and reconfigurable computing systems.
Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2020-02-08
Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-08 with Technology & Engineering categories.
This book explores various challenging problems and applications areas of wireless sensor networks (WSNs), and identifies the current issues and future research challenges. Discussing the latest developments and advances, it covers all aspects of in WSNs, from architecture to protocols design, and from algorithm development to synchronization issues. As such the book is an essential reference resource for undergraduate and postgraduate students as well as scholars and academics working in the field.
Design And Analysis Of Wireless Based Technologies For Indoor Localization Systems
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Author : Sebastian Sadowski
language : en
Publisher:
Release Date : 2018
Design And Analysis Of Wireless Based Technologies For Indoor Localization Systems written by Sebastian Sadowski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
As buildings become larger and more complex, there becomes a greater need for localization systems that are capable of functioning quickly with high accuracy. Location Based Services (LBS) are a general application where a person's location data can be used to easily control devices in one's everyday life. However, before LBS can be achieved, location information must be gathered. This work investigates a Wireless Sensor Network (WSN) used for performing indoor localization under a variety of wireless technologies, localization techniques, and filtering algorithms. The system was required to accurately locate devices with low error, have high precision, be cost-effective, and easy to deploy in an environment. Based on experiments performed, WiFi was determined to have the lowest error overall, while Bluetooth Low Energy (BLE) consumed the lowest amount of power. Fingerprinting using K-Nearest Neighbor (KNN) with k=4 processing was determined to be the most accurate and precise technique. In addition, by using six anchors in an environment and applying nonlinear least squares processing localization accuracy could be improved.
Node Localization In Wireless Sensor Networks
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Author : Xue Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Node Localization In Wireless Sensor Networks written by Xue Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and estimation framework and we emphasize specifically a cooperative process where sensors with known locations are used to localize nodes at unknown locations. In this class of problems, even if the location of a node is known, the wireless links and transmission modalities between two nodes may be unknown. In this case, sensor nodes are used to detect the location and estimate pertinent data transmission activities between nodes. In addition to the broader problem of sensor localization, this booklet studies also specific localization measurements such as time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a subset of sensor nodes to estimate nearby sensor nodes' locations is discussed in detail. Extensive bibliography is given for those readers who want to delve further into specific topics.
Active Media Technology
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Author : Tetsuya Yoshida
language : en
Publisher: Springer
Release Date : 2013-10-24
Active Media Technology written by Tetsuya Yoshida and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-24 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Active Media Technology, AMT 2013, held in Maebashi, Japan, in October 2013. The 26 revised full papers presented together with 2 short papers, 16 workshop papers, and 12 special session papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on active computer systems, interactive systems, and application of AMT based systems; active media machine learning and data mining techniques; AMT for semantic web, social networks, and cognitive foundations. Additionally, the main topic of the workshop papers is: intelligence for strategic foresight; and for the special session papers: technologies and theories of narrative; evolutionary computation and its application; and intelligent media search techniques.
Imdc Sdsp 2020
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Author : Raed Abd-Alhameed
language : en
Publisher: European Alliance for Innovation
Release Date : 2020-09-09
Imdc Sdsp 2020 written by Raed Abd-Alhameed and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Education categories.
IMDC-SDSP conference offers an exceptional platform and opportunity for practitioners, industry experts, technocrats, academics, information scientists, innovators, postgraduate students, and research scholars to share their experiences for the advancement of knowledge and obtain critical feedback on their work. The timing of this conference coincides with the rise of Big Data, Artificial Intelligence powered applications, Cognitive Communications, Green Energy, Adaptive Control and Mobile Robotics towards maintaining the Sustainable Development and Smart Planning and management of the future technologies. It is aimed at the knowledge generated from the integration of the different data sources related to a number of active real-time applications in supporting the smart planning and enhance and sustain a healthy environment. The conference also covers the rise of the digital health, well-being, home care, and patient-centred era for the benefit of patients and healthcare providers; in addition to how supporting the development of a platform of smart Dynamic Health Systems and self-management.