RSSI-Based Localizations: Applications and Advancements with Machine Learning
暫譯: 基於RSSI的定位技術：應用與機器學習的進展

Jindapetch, Nattha, Wattananavin, Thradon, Thongpull, Kittikhun

RSSI-Based Localizations: Applications and Advancements with Machine Learning
  • 出版商: CRC
  • 出版日期: 2026-05-21
  • 售價: $8,500
  • 貴賓價: 9.5 折 $8,075
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041124236
  • ISBN-13: 9781041124238
  • 相關分類: Raspberry Pi、Machine Learning

    • 尚未上市，無法訂購

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商品描述

This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems. With its emphasis on practical implementation and real-world applications, this book serves as an invaluable resource for those looking to harness RSSI for robust, efficient, and scalable solutions. It empowers the reader to develop advanced wireless sensing solutions across various domains. By starting with measurement techniques for RSSI and localization algorithms, the authors provide a strong foundation in RSSI localization. The reader also learns Device-Free Detection (DFD) using RSSI, applied in security, healthcare, and smart homes, which enables the design of more intelligent smart environments.

An important topic covered in the book is the integration of machine learning (ML) with RSSI data. The authors cover supervised, unsupervised, and deep learning techniques, focusing on enhancing accuracy, scalability, and adaptability. The reader learns how to apply ML techniques and gain further insight into the advanced applications of RSSI data. Such knowledge allows for the development of more accurate and scalable systems, creation of intelligent IoT systems. An important hospital case is included to study RSSI-based monitoring in healthcare. It features a real-world example which details the implementation, challenges, and results of the case study. The practical insights demonstrate the potential benefits and challenges of RSSI-based healthcare solutions and inspires the development of innovative solutions in healthcare and potentially other domains, integrating machine learning capabilities.

The readership for this book is graduate students in wireless sensor network and IoT courses, as well as professionals such as developers and researchers developing smart communications in factories, hospitals, and buildings.

商品描述(中文翻譯)

這本書探討基於RSSI的定位、無需設備的檢測以及機器學習的整合，提供有關無線感測應用於導航、安全、醫療保健和智能物聯網系統的實用見解。該書強調實際實施和現實應用，對於希望利用RSSI來實現穩健、高效和可擴展解決方案的人來說，是一個無價的資源。它使讀者能夠在各個領域開發先進的無線感測解決方案。從RSSI的測量技術和定位演算法開始，作者為RSSI定位提供了堅實的基礎。讀者還將學習如何使用RSSI進行無需設備的檢測（Device-Free Detection, DFD），應用於安全、醫療保健和智能家居，這使得設計更智能的智能環境成為可能。

書中涵蓋的一個重要主題是機器學習（Machine Learning, ML）與RSSI數據的整合。作者介紹了監督式、非監督式和深度學習技術，重點在於提高準確性、可擴展性和適應性。讀者將學習如何應用ML技術，並深入了解RSSI數據的先進應用。這樣的知識使得開發更準確和可擴展的系統、創建智能物聯網系統成為可能。書中還包含了一個重要的醫院案例，以研究基於RSSI的醫療監測。該案例提供了一個現實世界的例子，詳細說明了實施、挑戰和案例研究的結果。這些實用見解展示了基於RSSI的醫療解決方案的潛在好處和挑戰，並激發了在醫療保健及其他領域開發創新解決方案的靈感，整合機器學習能力。

本書的讀者對象為無線感測網路和物聯網課程的研究生，以及開發工廠、醫院和建築智能通訊的專業人士，如開發者和研究人員。

作者簡介

Nattha Jindapetch obtained her PhD from the University of Tokyo in advanced science and technology. She is currently an Associate Professor with the Department of Electrical Engineering at Prince of Songkla University, Thailand. Her research interests include FPGAs, embedded systems, and sensor networks.

Thradon Wattananavin is a lecturer at the Faculty of Industrial Technology, Nakhon Si Thammarat Rajabhat University, Thailand. His research interests include wireless sensor networks, RSSI-based localization, medium access control (MAC) protocols, wireless network communications, fingerprinting, and machine learning.

Kittikhun Thongpull is Director of Next-generation Innovations in Connected and Digital Technology Research at the Prince of Songkla University, Thailand. He received his PhD from the Kaiserslautern University of Technology in Germany.

Apidet Booranawong teaches electrical engineerin at the Prince of Songkla University, Thailand. His research is in the areas of wireless sensor networks, wireless sensor and actuator networks, and routing algorithms.

作者簡介(中文翻譯)

Nattha Jindapetch 於東京大學獲得先進科學與技術的博士學位。她目前是泰國宋卡王子大學電機工程系的副教授。她的研究興趣包括 FPGA、嵌入式系統和感測器網路。

Thradon Wattananavin 是泰國那空西塔瑪拉吉巴大學工業技術學院的講師。他的研究興趣包括無線感測器網路、基於 RSSI 的定位、中介存取控制 (MAC) 協定、無線網路通訊、指紋識別和機器學習。

Kittikhun Thongpull 是泰國宋卡王子大學連接與數位技術研究的下一代創新主任。他在德國凱瑟斯勞滕科技大學獲得博士學位。

Apidet Booranawong 在泰國宋卡王子大學教授電機工程。他的研究領域包括無線感測器網路、無線感測器與執行器網路以及路由演算法。

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