Chapter 1 Introduction
1.1 Research Background And Significance
1.2 Research Statement
1.3 Our Contributions
1.4 Thesis Structure
Chapter 2 Research Works
2.1 Link Quality Parameters
2.1.1 RSSI (Received Signal Strength Indicator)
2.1.2 LQI (Link Quality Indicator)
2.1.3 SNR(Signal To Noise Ratio)
2.1.4 PRR (Packet Received Rate)
2.2 Wireless Sensor Network Link Characteristics
2.2.1 Spatial Characteristics.
2.2.2 Temporal Characteristics.
2.2.3 Link Asymmetry.
2.2.4 Interference.
2.3 Comprehensive Link Quality Assessment Model
2.3.1 Link Quality Prediction Method Based On Link Characteristics
2.3.2 Statistics-Based Link Quality Prediction Method
2.3.3 Machine Learning-Based Link Quality Prediction Method
2.4 Summary of This Chapter
Chapter 3 Gradient Boosting
3.1 Boosting Machine
Important Component of Boosting
3.2 Gradient Boosting Machine
3.2.1 Friedman’s gradient boosting machine
3.2.2 Decreasing the learning rate
3.2.3 Variance reduction using subsampling
3.3 Summary of The Chapter
Chapter 4 Model Evaluation And Performance
4.1 Link Characteristics And Metrics
4.1.1 Link transmission efficiency`
4.1.2 Link volatility
4.1.3 Receive signal strength
4.1.4 Packet Received Rate Grading (PRR-g)
4.2 Preliminary Exploration
4.3 Methods And Techniques
4.3.1 Data Preprocessing
4.3.2 Data analysis
4.3.3 Feature generation
4.3.4 Model training
4.4 Summary of The Chapter
Chapter 5 Experiment And Analysis
5.1 Experimental Design
5.1.1 Hardware Platform
5.1.2 Software Platform
5.2 Experimental Scenarios
Data Preprocessing
5.3 Experimental Result and Analysis
5.4 Summary of This Chapter
Chapter 6 Conclusion and Further Work
6.1 Conclusion
6.2 Further Work
致谢
Research Publication
参考文献
南昌航空大学;