Localization in Underwater Sensor Networks

1. Introduction
1.1 Network Architecture of Underwater Sensor Networks
1.2 Prior Arts in Localization
1.3 Underwater Weak Communication Characteristics

2. Asynchronous Localization of Underwater Sensor Networks with Mobility Prediction
2.1 Introduction
2.2 System Modeling and Problem Formulation
2.3 Design of Asynchronous Localization Approach
2.4 Performance Analysis
2.4.1 Convergence
2.4.2 Cramer-Rao Lower Bound
2.5 Simulation
2.5.1 Simulation of Active Sensor Node
2.5.2 Simulation of Passive Sensor Node
2.6 Summary
References

3. Asynchronous Localization of Underwater Sensor Networks with Consensus-Based Unscented Kalman Filtering
3.1 Introduction
3.2 System Modeling and Problem Formulation
3.3 Design of Consensus-Based UKF Localization Approach
3.4 Performance Analysis
3.4.1 Observability Analysis
3.4.2 Convergence Conditions
3.4.3 Cramer-Rao Lower Bound
3.4.4 Computational Complexity Analysis
3.5 Simulation
3.6 Summary
Reference

4. Reinforcement Learning Based Asynchronous Localization of Underwater Sensor Networks
4.1 Introduction
4.2 System Modeling and Problem Formulation
4.3 Design of Reinforcement Learning Based Asynchronous Localization Approach
4.4 Performance Analysis
4.4.1 Convergence Conditions
4.4.2 Cramer-Rao Lower Bound
4.4.3 Computational Complexity Analysis
4.5 Simulation
4.5.1 Advantage of the RL-Based Localization Strategy
4.5.3 Simulation of Active Sensor Node
4.5.4 Simulation of Passive Sensor Node
4.6 Summary
Reference

5. Privacy Preserving Asynchronous Localization of Underwater Sensor Networks
5.1 Introduction
5.2 System Modeling and Problem Formulation
5.3 Design of Privacy Preserving Based Localization Approach
5.3.1 Design of Active Sensor Node Localization Strategy
5.3.2 Design of Ordinary Sensor Node Localization Strategy
5.4 Performance Analysis
5.4.1 Equivalence Analysis
5.4.1.1 Equivalence Analysis of Active Sensor Node
5.4.1.2 Equivalence Analysis of Ordinary Sensor Node
5.4.2 Level of Privacy Preservation
5.4.3 Communication Complexity Analysis
5.5 Simulation
5.5.1 Simulation of Active Sensor Node
5.5.2 Simulation of Ordinary Sensor Node
5.6 Summary
Reference

6. Privacy-Preserving Asynchronous Localization of Underwater Sensor Network with Attack Detection and Ray Compensation
6.1 Introduction
6.2 System Modeling and Problem Formulation
6.3 Design of Privacy-Preserving Localization Approach
6.4 Performance Analysis
6.4.1 Equivalence Analysis
6.4.2 Influencing Factors of Localization Errors
6.4.3 Privacy-Preserving Property
6.4.4 Tradeoff Between Privacy and Transmission Cost
6.5 Simulation
6.6 Summary
Reference

7. Deep Reinforcement Learning Based Privacy-Preserving Localization of Underwater Sensor Networks
7.1 Introduction
7.2 System Modeling and Problem Formulation
7.3 Design of