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Titlebook: Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks; Satish R. Jondhale,R. Maheswar,Jaime Llore

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發(fā)表于 2025-3-21 20:07:21 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks
編輯Satish R. Jondhale,R. Maheswar,Jaime Lloret
視頻videohttp://file.papertrans.cn/823/822555/822555.mp4
概述Presents a variety of perspectives on real time location and tracking (L&T) problems and low cost solutions.Allows readers to simulate L&T systems and validate them using real time measurements.Includ
叢書名稱EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks; Satish R. Jondhale,R. Maheswar,Jaime Llore
描述This book briefly summarizes the current state of the art technologies and solutions for location and tracking (L&T) in wireless sensor networks (WSN), focusing on RSS-based schemes. The authors offer broad and in-depth coverage of essential topics including range-based and range-free localization strategies, and signal path loss models. In addition, the book includes motion models and how state estimation techniques and advanced machine learning techniques can be utilized to design L&T systems for a given problem using low cost measurement metric (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes. The book allows practicing engineers and graduate students to keep pace with contemporary research and new technologies in the L&T domain.
出版日期Book 2022
關鍵詞Localization and Tracking; Wireless Sensor Network; Received Signal Strength; Location Based Services; L
版次1
doihttps://doi.org/10.1007/978-3-030-74061-0
isbn_softcover978-3-030-74063-4
isbn_ebook978-3-030-74061-0Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Survey of Existing RSSI-Based L&T Systems,Bayesian frameworks, and ANN-based implementations. In order to understand the recent research trends in these areas, the rigorous survey of existing systems is done and is split into four sections. The first section discusses the various wireless technologies useful for indoor L&T, whereas the seco
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Trilateration-Based Target L&T Using RSSI, the position of a target using its distances (computed using a suitable path loss model) from three anchor nodes. Three circles are formed based on these computed distances, and their intersection is used to locate the target node in space. Although the trilateration technique is not sufficient to
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2522-8595 ystems and validate them using real time measurements.IncludThis book briefly summarizes the current state of the art technologies and solutions for location and tracking (L&T) in wireless sensor networks (WSN), focusing on RSS-based schemes. The authors offer broad and in-depth coverage of essentia
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Survey of Existing RSSI-Based L&T Systems,nd section is devoted to a survey of the application of Bayesian filtering in the RSSI-based L&T applications. The survey of the application of ANN as well as BLE technology in the RSSI-based L&T applications is discussed in the third and fourth sections, respectively.
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