Localization in underwater sensor networks / / Jing Yan [and three others]

• Autore: Yan Jing
• Pubblicazione: Gateway East, Singapore : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (231 pages)
• Disciplina: 681.2
• Soggetto topico: Wireless sensor networks
• Nota di contenuto: Intro -- Preface -- Contents -- About the Authors -- Acronyms -- Symbols -- 1 Introduction -- 1.1 Underwater On-Line Monitoring System -- 1.2 Localization Schemes for Wireless Sensor Networks -- 1.2.1 Localization with AOA Measurements -- 1.2.2 Localization with Distance-Related Measurements -- 1.2.2.1 Localization with TOA Measurement -- 1.2.2.2 Localization with TDOA Measurement -- 1.2.2.3 Localization with RSS Measurement -- 1.2.2.4 Localization with Lighthouse Approach -- 1.2.3 Localization with RSS Profiling Measurements -- 1.3 Unique Characteristics of USNs -- 1.4 Problems Studied in This Book -- References -- 2 Asynchronous Localization of Underwater Sensor Networks with Mobility Prediction -- 2.1 Introduction -- 2.2 Network Architecture and Overview of the Localization -- 2.2.1 Network Architecture -- 2.2.2 Overview of the Localization -- 2.3 Asynchronous Localization Approach Design -- 2.3.1 Relationship Between Delay and Position -- 2.3.2 Mobility Prediction for AUVs and Sensor Nodes -- 2.3.3 Asynchronous Localization Optimization Problem -- 2.4 Position Solving and Performance Analysis -- 2.4.1 Position Solving for Sensor Nodes -- 2.4.2 Convergence of the Iterative Squares Estimators -- 2.4.3 Cramér-Rao Lower Bound -- 2.5 Simulation Results -- 2.5.1 Simulation Settings -- 2.5.2 Results and Analysis -- 2.6 Conclusion -- References -- 3 Async-Localization of USNs with Consensus-Based Unscented Kalman Filtering -- 3.1 Introduction -- 3.2 Network Architecture and Overview of the Localization Procedure -- 3.2.1 Network Architecture -- 3.2.2 Overview of the Localization Procedure -- 3.3 Consensus-Based UKF Localization Approach -- 3.3.1 Relationship Between Delay and Position -- 3.3.2 Asynchronous Localization Optimization Problem -- 3.3.3 Consensus-Based UKF Localization Algorithm -- 3.4 Performance Analysis -- 3.4.1 Convergence Conditions. ; 3.4.2 Cramér-Rao Lower Bound -- 3.4.3 Error of Acoustic Wave Speed -- 3.4.4 Computational Complexity Analysis -- 3.5 Simulation Results -- 3.5.1 Simulation Settings -- 3.5.2 Results and Analysis -- 3.6 Conclusion -- References -- 4 Reinforcement Learning-Based Asynchronous Localization of USNs -- 4.1 Introduction -- 4.2 System Description and Problem Formulation -- 4.3 RL-Based Localization for USNs -- 4.3.1 AUV-Aided Asynchronous Localization Protocol -- 4.3.2 RL-Based Localization Algorithm -- 4.3.3 Performance Analysis -- 4.4 Simulation and Experimental Results -- 4.4.1 Simulation Results -- 4.4.2 Experimental Results -- 4.5 Conclusion -- References -- 5 Privacy Preserving Asynchronous Localization of USNs -- 5.1 Introduction -- 5.2 Network Architecture and the Asynchronous Localization Protocol -- 5.2.1 Network Architecture -- 5.2.2 Asynchronous Localization Protocol -- 5.3 Asynchronous Localization Algorithms -- 5.3.1 PPS-Based Localization for Active Sensor -- 5.3.2 PPS and PPDP Based Localization for Ordinary Sensor -- 5.3.3 Consequence when There Exist Dishonest Nodes -- 5.4 Performance Analyses -- 5.4.1 Equivalence Analyses -- 5.4.2 Level of Privacy Preservation -- 5.4.3 Collision Avoidance of Packet -- 5.4.4 Communication Overhead -- 5.5 Simulation and Experiment Results -- 5.5.1 Simulation Studies -- 5.5.2 Experiment Studies -- 5.6 Conclusion -- References -- 6 Privacy Preserving Asynchronous Localization with Attack Detection and Ray Compensation -- 6.1 Introduction -- 6.2 Network Model and Problem Formulation -- 6.2.1 Network Architecture -- 6.2.2 Clock and Stratification Models -- 6.2.3 Attack and Privacy Models -- 6.2.4 Problem Formulation -- 6.3 Privacy-Preserving Localization for USNs -- 6.3.1 Privacy-Preserving Asynchronous Transmission Protocol -- 6.3.2 Privacy-Preserving Estimator with Ray Compensation -- 6.4 Performance Analyses. ; 6.4.1 Equivalence with the Privacy-Lacking Estimation -- 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 and Experiment Results -- 6.5.1 Simulation Studies -- 6.5.2 Experimental Studies -- 6.6 Conclusion -- References -- 7 Deep Reinforcement Learning Based Privacy Preserving Localization of USNs -- 7.1 Introduction -- 7.2 Network Architecture and Problem Formulation -- 7.2.1 Network Architecture -- 7.2.2 Adversary and Privacy Models -- 7.2.3 Scenario Description -- 7.2.4 Problem of Interest -- 7.3 Privacy-Preserving Localization Protocol -- 7.4 DRL-Based Localization Estimator -- 7.4.1 Localization when All Data Is Unlabelled -- 7.4.2 Localization when Labelled Data Occupies the Majority -- 7.4.3 Localization when Unlabelled Data Occupies the Majority -- 7.4.4 Performance Analysis -- 7.5 Simulation Results -- 7.6 Conclusion -- References -- 8 Future Research Directions -- 8.1 Space-Air-Ground-Sea Network Architecture -- 8.2 Intergradation Design of Localization Protocol -- 8.3 Learning-Based Optimization Estimator.
• Titolo autorizzato: Localization in underwater sensor networks
• ISBN: 981-16-4831-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996464424003316
• Lo trovi qui: Univ. di Salerno
• Serie: Wireless networks (Springer (Firm))