Central Library, Indian Institute of Technology Delhi
केंद्रीय पुस्तकालय, भारतीय प्रौद्योगिकी संस्थान दिल्ली

Received signal strength based target localization and tracking using wireless sensor networks

By: Jondhale, Satish RContributor(s): Maheswar, R | Lloret,JaimeSeries: EAI/Springer innovations in communication and computingPublication details: Cham: Springer, 2022Description: xv,205 pISBN: 9783030740603Subject(s): Pico - radio | Trilateration | Bayesian | Zigbee | FigerprintingUDC classification: 621.391.81 Summary: 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 metrics (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes.
List(s) this item appears in: MATLAB
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Book Book Indian Institute of Technology Delhi - Central Library
Central Library
General 621.391.81 JON-R (Browse shelf(Opens below)) Available 177063

Includes bibliography and index ( p.203-205)

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 metrics (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes.

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