EdgeLoc: A Robust and Real-Time Localization System Toward Heterogeneous IoT Devices

Keyphrases

• Internet of Things Devices 100%
• Received Signal Strength 100%
• Real-time Localization System 100%
• Heterogeneous Internet of Things 100%
• Signal Level 40%
• Fingerprinting 40%
• Feature Level 40%
• Indoor Location-based Services 40%
• Hardware Heterogeneity 40%
• Deep Learning Model 20%
• Computational Resources 20%
• Smartphone 20%
• Feature Signals 20%
• Neural Network Model 20%
• Wi-Fi 20%
• Internet of Things 20%
• Mobile Users 20%
• Localization Accuracy 20%
• Indoor Localization 20%
• Localization Time 20%
• Wi-Fi Fingerprinting 20%
• Edge Server 20%
• Indoor Localization System 20%
• Incremental Feature 20%
• CNN Methods 20%
• Multipath Reflection 20%
• Fingerprint Data 20%
• Demand-driven 20%
• Sensing Error 20%
• Positioning Time 20%
• Internet of Things Framework 20%
• Capsule Neural Network 20%
• Signal Strength Fingerprint 20%
• Feature Matrix 20%
• Real-time Localization 20%

Computer Science

• Internet of Things Device 100%
• Received Signal Strength 100%
• Internet of Things 40%
• Wi-Fi 40%
• Location-Based Service 40%
• Indoor Location 40%
• Convolutional Neural Network 20%
• Field Experiment 20%
• Complex Environment 20%
• Neural Network Model 20%
• Deep Learning Model 20%
• Edge Server 20%
• Fingerprint Data 20%