Pure RSSI Based Low-cost Self-localization System for ZigBee WSN PDF Download
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Author: Philip Lin
Publisher:
ISBN:
Category : Location problems (Programming)
Languages : en
Pages : 244
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Book Description
In modern wireless sensor networks (WSN) applications, location awareness has been one of the features that attracted many research interests. Various applications utilize location information for surveillance and asset tracking purposes. Common WSN localization systems use radio frequency (RF), ultra-sound, or laser devices to provide range information, whose node positions are to be determined by various algorithms accordingly. Multi-dimensional scaling (MDS) is one of the most common algorithms for transforming inter-node distances into node positions in Cartesian coordinates. However, MDS algorithm, by nature, has a cubic computational complexity. Also, the algorithm's ability to localize is restricted to fully connected WSNs, where every node sees every other node. This thesis proposes a low-cost pure RF based localization system, implemented with a novel clustering MDS algorithm. Its most attractive feature is its ability to localize a partially connected WSN with a linear computation complexity without sacrificing the localization accuracy. In this thesis, we review various localization techniques and conduct experiments to compare the clustering MDS' performance against the classical MDS' and GPS'. The localization with a commercial GPS, although, better than the above two methods, has also introduced significant discrepancy. At the end, we have demonstrated that RF localization in our low-cost system does not deliver GPS-grade accuracy, but its ability to localize partially-connected WSN and low computation complexity have outperformed the classical MDS approach.
Author: Philip Lin
Publisher:
ISBN:
Category : Location problems (Programming)
Languages : en
Pages : 244
Get Book Here
Book Description
In modern wireless sensor networks (WSN) applications, location awareness has been one of the features that attracted many research interests. Various applications utilize location information for surveillance and asset tracking purposes. Common WSN localization systems use radio frequency (RF), ultra-sound, or laser devices to provide range information, whose node positions are to be determined by various algorithms accordingly. Multi-dimensional scaling (MDS) is one of the most common algorithms for transforming inter-node distances into node positions in Cartesian coordinates. However, MDS algorithm, by nature, has a cubic computational complexity. Also, the algorithm's ability to localize is restricted to fully connected WSNs, where every node sees every other node. This thesis proposes a low-cost pure RF based localization system, implemented with a novel clustering MDS algorithm. Its most attractive feature is its ability to localize a partially connected WSN with a linear computation complexity without sacrificing the localization accuracy. In this thesis, we review various localization techniques and conduct experiments to compare the clustering MDS' performance against the classical MDS' and GPS'. The localization with a commercial GPS, although, better than the above two methods, has also introduced significant discrepancy. At the end, we have demonstrated that RF localization in our low-cost system does not deliver GPS-grade accuracy, but its ability to localize partially-connected WSN and low computation complexity have outperformed the classical MDS approach.
Author: Hyo-Sung Ahn
Publisher:
ISBN: 9789533070018
Category :
Languages : en
Pages :
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Book Description
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).
Author: Imtiaz Rasool
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
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Book Description
Author: Mao, Guoqiang
Publisher: IGI Global
ISBN: 1605663972
Category : Computers
Languages : en
Pages : 526
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Book Description
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.
Author: Chenshu Wu
Publisher: Springer
ISBN: 9811303568
Category : Computers
Languages : en
Pages : 225
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Book Description
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.
Author: Andrea Goldsmith
Publisher: Cambridge University Press
ISBN: 1139445847
Category : Technology & Engineering
Languages : en
Pages : 674
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Book Description
Wireless technology is a truly revolutionary paradigm shift, enabling multimedia communications between people and devices from any location. It also underpins exciting applications such as sensor networks, smart homes, telemedicine, and automated highways. This book provides a comprehensive introduction to the underlying theory, design techniques and analytical tools of wireless communications, focusing primarily on the core principles of wireless system design. The book begins with an overview of wireless systems and standards. The characteristics of the wireless channel are then described, including their fundamental capacity limits. Various modulation, coding, and signal processing schemes are then discussed in detail, including state-of-the-art adaptive modulation, multicarrier, spread spectrum, and multiple antenna techniques. The concluding chapters deal with multiuser communications, cellular system design, and ad-hoc network design. Design insights and tradeoffs are emphasized throughout the book. It contains many worked examples, over 200 figures, almost 300 homework exercises, over 700 references, and is an ideal textbook for students.
Author: Rainer Mautz
Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG
ISBN: 9783838135373
Category :
Languages : en
Pages : 152
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Book Description
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.
Author: Fei Hu
Publisher: CRC Press
ISBN: 1439882665
Category : Computers
Languages : en
Pages : 531
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Book Description
Written by award-winning engineers whose research has been sponsored by the U.S. National Science Foundation (NSF), IBM, and Cisco's University Research Program, Wireless Sensor Networks: Principles and Practice addresses everything product developers and technicians need to know to navigate the field. It provides an all-inclusive examina
Author: Steven M. Kay
Publisher: Pearson Education
ISBN: 013280803X
Category : Technology & Engineering
Languages : en
Pages : 496
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Book Description
"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
Author: Pradeep Kumar Singh
Publisher: Springer Nature
ISBN: 303040305X
Category : Technology & Engineering
Languages : en
Pages : 722
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Book Description
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.
