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LoRa Localization System Design and Performance Analysis /

This book delves deep into the world of low-power Internet of Things (IoT) node positioning, in an era where IoT is revolutionizing connectivity and communication. It focuses on the critical aspect of accurate node positioning, which has transformative potential across various industrial application...

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Detalles Bibliográficos
Autores principales: Shi, Zhiguo (Autor), Gu, Chaojie (Autor), He, Shibo (Autor), Hu, Kang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Colección:SpringerBriefs in Computer Science,
Materias:
Computer networks .
Wireless communication systems.
Mobile communication systems.
Cooperating objects (Computer systems).
Computer Communication Networks.
Wireless and Mobile Communication.
Cyber-Physical Systems.
Acceso en línea:https://doi.org/10.1007/978-3-031-48008-9
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Tabla de Contenidos:
  • 1 Introduction
  • 1.1 Background
  • 1.1.1 Internet of Things (IoT)
  • 1.1.2 Low Power Wide Area Network (LPWAN)
  • 1.1.3 Location-based Internet of Things Services and Industrial Applications
  • 1.2 Current Situation and Challenge
  • 1.2.1 Challenges and Contributions
  • 1.3 Book Organization
  • References
  • 2 Wireless Localization Model and Hardware Foundation
  • 2.1 LoRa and its Ranging Engine
  • 2.1.1 LoRa Network Structure
  • 2.1.2 LoRa Nodes Distance Estimation
  • 2.1.3 LoRa Nodes Angle Estimation
  • 2.2 Angle of Arrival (AoA) Estimation
  • 2.3 Hardware
  • 2.3.1 Hardware Platform Design
  • 2.3.2 Heterogeneous Devices and Protocol Interface Design
  • References
  • 3 LoRa-based Mobile Localization System
  • 3.1 System Model
  • 3.1.1 System Overview
  • 3.1.2 Localization Model
  • 3.2 Distance and Location Estimation
  • 3.2.1 Distance Estimation
  • 3.2.2 Anchor Location Estimation
  • 3.3 Localization Optimization
  • 3.4 Implementation and Evaluation
  • 3.4.1 System Implementation
  • 3.4.2 Localization Simulations
  • 3.4.3 System Evaluation
  • 3.5 Summary
  • References
  • 4 Wide-Area Localization System Based on LoRa Mesh
  • 4.1 Hardware Design
  • 4.2 LoRa Mesh Protocol Design
  • 4.2.1 The Structure of the Mesh Protocol
  • 4.2.2 Route Discovery and Maintenance
  • 4.2.3 Routing Algorithm
  • 4.3 LoRa Ranging and Localization
  • 4.3.1 Localization Workflow
  • 4.3.2 Ranging Algorithm
  • 4.3.3 Localization Algorithm
  • 4.4 Implementation
  • 4.4.1 Control and Visualization Interface
  • 4.4.2 Anchors Deployment
  • 4.5 Evaluation
  • 4.5.1 Ranging Experiment
  • 4.5.2 Positioning Experiment
  • 4.6 Summary
  • References
  • 5 Enable Angle of Arrival in LoRa for Efficient Indoor Localization
  • 5.1 Problem formulation and Challenges
  • 5.2 Redesign of LoRa Gateway and Ranging Procedure
  • 5.2.1 Gateway Redesign
  • 5.2.2 Leveraging Ranging Difference
  • 5.2.3 Ranging Procedure Redesign
  • 5.3 Improving AoA Estimation via Rotation
  • 5.3.1 Binary AoA Classification
  • 5.3.2 Virtual Array
  • 5.3.3 AoA Calculation
  • 5.4 Implementation and Applications
  • 5.4.1 Implementation
  • 5.4.2 Applications
  • 5.5 Performance Evaluation
  • 5.5.1 Ranging Difference Estimation
  • 5.5.2 AoA Estimation
  • 5.5.3 NLoS Localization
  • 5.5.4 Power Consumption Evaluation
  • 5.6 Summary
  • References
  • 6 LoRa-based Indoor Tracking System for Mobile Robots
  • 6.1 Estimating the AoA
  • 6.1.1 AoA Estimation with an Antenna Array
  • 6.1.2 Minimize Ranging Interval
  • 6.2 Eliminating the Blind Area
  • . 6.3 Estimating Target Movement
  • 6.3.1 Target Motion Model
  • 6.3.2 Real-Time Frequency Estimation
  • 6.4 System Implementation
  • 6.5 Performance Evaluation
  • 6.5.1 Indoor Experiments
  • 6.5.2 Deploy Ability Investigation
  • 6.6 Summary
  • References
  • 7 Conclusion and Future Directions
  • 7.1 Concluding Remarks
  • 7.2 Future Directions.

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