Positioning and Sensing Over Wireless Networks
Series: Wireless Networks;
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53 249 Ft
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 27 September 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031991615
- Binding Hardback
- No. of pages181 pages
- Size 235x155 mm
- Language English
- Illustrations XI, 181 p. 66 illus., 59 illus. in color. Illustrations, black & white 699
Categories
Long description:
"
This book covers the principles, methods, and state-of-the-art applications of positioning and sensing across both ground-based and aerial wireless networks. The first two chapters introduce key performance metrics and measurement techniques along with enabling tools. In the next two chapters, this book examines radio-frequency implementations over Wi-Fi systems, followed by visible-light positioning systems.
Building on these chapters, fusion-based strategies demonstrate how inertial sensors, floor plans, and environmental constraints can be integrated via adaptive filter to enhance positioning accuracy. Subsequent chapters explore unmanned aerial vehicle–assisted positioning. Finally, this book presents integrated sensing–communication frameworks that design joint UAV Trajectory and resource allocations to deliver simultaneous connectivity and environmental awareness.
This book targets graduate-level students and researchers working in computer science and electrical engineering as well as industry engineers. It offers both theoretical foundations and practical guidelines to develop next-generation wireless networks and beyond positioning and sensing solutions.
" MoreTable of Contents:
Chapter 1 Introduction.- 1.1 An Overview of Positioning and Sensing.- 1.1.1 Background.- 1.1.2 Motivation.- 1.2 Applications of Positioning and Sensing.- 1.2.1 Public Provision.- 1.2.2 Enterprise.- 1.2.3 Individuals.- 1.3 Organization of the Monograph.- Chapter 2 Key Performance Indicators and Measurements.- 2.1 KPIs.- 2.2 Measurement.- 2.2.1 Time-Based Measurements.- 2.2.2 Angle-Based Measurements.- 2.2.3 Received Signal Strength-Based Measurements.- 2.2.4 Others.- 2.3 Summary.- Chapter 3 Key Techniques for Positioning and Sensing.- 3.1 Machine Learning.- 3.1.1 Deep Neural Networks.- 3.1.2 Large Models.- 3.2 Adaptive System.- 3.2.1 Kalman Filter.- 3.2.2 Particle Filter.- 3.3 Reconfigurable Intelligent Surface.- 3.3.1 Active Reflectors.- 3.3.2 Passive Reflectors.- 3.4 Software Defined Network.- 3.5 Summary.- Chapter 4 Positioning and Sensing Over Radio Frequency Wireless Networks.- 4.1 Introduction.- 4.1.1 Background.- 4.1.2 Motivations.- 4.2 Models and Problem Formulation.- 4.2.1 System Model.- 4.2.2 Problem Formulation.- 4.3 State-of-the-art Progress.- 4.4 An Efficient RF-based Sensing Scheme.- 4.4.1 Scheme Construction.- 4.4.2 Performance Evaluation.- 4.5 Summary.- Chapter 5 Positioning and Sensing Over Optical Wireless Networks.- 5.1 Introduction.- 5.1.1 Background.- 5.1.2 Motivations.- 5.2 Models and Problem Formulation.- 5.2.1 System Model.- 5.2.2 Problem Formulation.- 5.3 State-of-the-art Progress.- 5.4 An Accurate Single-LED-based Visible Light Positioning Scheme.- 5.4.1 Scheme Construction.- 5.4.2 Performance Evaluation.- 5.5 Summary.- Chapter 6 Positioning and Sensing for UAVs.- 6.1 Introduction.- 6.1.1 Background.- 6.1.2 Motivations.- 6.2 Models and Problem formulation.- 6.2.1 System Model.- 6.2.2 Problem Formulation.- 6.3 Algorithm Design.- 6.4 Performance Evaluation.- 6.5 Summary.- Chapter 7 Conclusion and Future Works.- 7.1 Conclusion.- 7.2 Future Works.
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