Next Generation Marine Wireless Communication Networks (Wireless Networks)

✍ Scribed by Bin Lin, Jianli Duan, Mengqi Han, Lin X. Cai

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 160
• Category: Library

✦ Synopsis

This book presents a novel framework design for the next generation Marine Wireless Communication Networks (MWCNs). The authors first provide an overview of MWCNs, followed by a discussion of challenges in the design and development of MWCNs in support of a diversity of marine services such as real-time marine monitoring, offshore oil exploration, drilling, marine tourism and fishing. The authors then propose cross layer networking solutions to achieve a high performance modern MWCN that enables efficient and reliable data transmissions under hostile marine environment, which include the network deployment, the physical layer channel coding, intelligent network access and resource management, and learning-based opportunistic routing. Finally, the authors summarize the book and present some open issues that will lead to new research directions in the next generation MWCNs.

✦ Table of Contents

Preface
Contents
Abbreviations
Chapter 1: Introduction
1.1 Overview of Marine Wireless Communications and Networks (MWCNs)
1.1.1 Maritime Applications in MWCNs
1.1.1.1 Smart Maritime Transport
1.1.1.2 Marine Environmental Monitoring
1.1.1.3 Entertainment
1.1.1.4 Emergency Rescue
1.1.2 Current Marine Wireless Communication Networks
1.1.2.1 Offshore Wireless Communication
1.1.2.2 Open Sea Wireless Communication
1.1.2.3 Underwater Wireless Sensor Networks
1.1.2.4 Global Maritime Distress and Safety System
1.1.3 The Next Generation Marine Wireless Communication Networks
1.2 Challenges
1.2.1 Deployment Challenges
1.2.2 Physical Layer Challenges
1.2.3 Link Layer Challenges
1.2.3.1 Limited Spectrum Resources for Maritime Services
1.2.3.2 Spatial Uncertainty of Maritime Communications
1.2.3.3 Link Dynamics in Hash Maritime Environment
1.2.4 Network Layer Challenges
1.3 Organization of the Book
References
Chapter 2: Topology Optimization of MWCN
2.1 Background
2.2 Related Works
2.3 Network Model and Problem Formulation
2.3.1 Network Model
2.3.2 Energy Model
2.3.3 Problem Formulation
2.3.3.1 Minimization of the Total Network Deployment Cost
2.3.3.2 Maximization of the Network Lifetime
2.4 Ant Colony Based Efficient Topology Optimization (AC-ETO)
2.4.1 Algorithm Description
2.4.2 Computational Complexity Analysis
2.5 Simulations and Discussions
2.5.1 Performance Validation in Small Scale to Middle Scale Networks
2.5.2 Performance Analysis of Gurobi and AC-ETO in Different Network Scenarios
2.5.3 Performance Comparison of AC-ETO and a Greedy Algorithm
2.6 Conclusion
References
Chapter 3: Autoencoder with Channel Estimation for Marine Communications
3.1 Background
3.2 Typical OFDM Communication Systems
3.3 Proposed OFDM Autoencoder
3.3.1 CNN-Based OFDM Autoencoder
3.3.2 Coded CNN-Based OFDM Autoencoder Using LSTM
3.3.3 CNN-Based Channel Estimation
3.3.4 Model Training
3.4 Simulation Results
3.4.1 AWGN and Fading Channels
3.4.2 Channel Estimation
3.5 Conclusion
References
Chapter 4: Decentralized Reinforcement Learning-Based Access Control for Energy Sustainable Underwater Acoustic Sub-Network of...
4.1 Background
4.2 Related Works
4.3 Performance Analysis of ESUN with Energy Harvesting
4.3.1 System Model
4.3.2 Analysis of ESUN Nodes
4.3.2.1 Analysis of ESUN Nodes with Non-critical Data
4.3.2.2 Performance Analysis of ESUN Nodes with Critical Data
4.3.3 Optimization Problem
4.4 Learning-Based Random Access for ESUN Nodes
4.5 Performance Evaluation
4.6 Conclusions
References
Chapter 5: Opportunistic Routing with Q-Learning for Marine Wireless Sensor Networks
5.1 Background
5.2 Related Works
5.3 System Model
5.3.1 Network Architecture
5.3.2 Q-Learning Model
5.3.2.1 Markov Decision Process (MDP) Model
5.3.2.2 The Basic Q-Learning Technique
5.4 EDORQ Algorithm
5.4.1 Overview of EDORQ
5.4.2 Void Detection Based Candidate Set Selection
5.4.3 Q-Learning Based Candidate Set Coordination
5.4.4 Summary
5.5 Simulation Results and Analysis
5.5.1 Simulation Setup
5.5.2 Simulation Metrics
5.5.3 Simulation Results
5.5.3.1 Performance Comparison
5.5.3.2 Impact of Sink Number
5.5.3.3 Impact of Node Mobility
5.6 Conclusions
References
Chapter 6: Conclusions and Future Directions
6.1 Conclusions
6.2 Future Research Directions
References
Index