RSSI-Based Localizations by Nattha Jindapetch (.PDF)
File Size: 11.4 MB
RSSI-Based Localizations: Applications and Advancements with Machine Learning by Nattha Jindapetch, Thradon Wattananavin, Kittikhun Thongpull, Apidet Booranawong
Requirements: .PDF reader, 11.4 MB | True PDF
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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