Buch, Englisch, 272 Seiten
Buch, Englisch, 272 Seiten
ISBN: 978-1-394-27165-8
Verlag: Wiley
Energy-Efficient Communication Networks is essential for anyone looking to understand and implement cutting-edge energy optimization strategies for communication systems, ensuring they meet growing energy demands while seamlessly integrating renewable energy sources and enhancing battery life in embedded applications.
Renewable energy, including solar, wind, and geothermal energy, for communication networks is a key area of exploration for meeting the demands of their increasing energy requirements. Scheduling and power cycle optimization are instrumental in deciding the effectiveness of these networks. Apart from communication, embedded systems running on batteries designed for data processing applications also face restrictions in terms of battery life—targeting low-energy consumption-based systems is particularly important here. The increased usage of sensor networks for personal and commercial applications has resulted in a surge of development to create energy-aware protocols and algorithms.
This book introduces energy optimization concepts for current and future communication networks and explains how to optimize electricity for wireless sensor networks and incorporate renewable energy sources into conventional communication networks. It gives readers a better understanding of the difficulties, limitations, and possible bottlenecks that may occur while developing a communication system under power constraints, as well as insights into the traditional and recently developed communication systems from an energy optimization point of view.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface xv
List of Contributors xvii
1 Efficient Energy Management in Hyperledger Fabric Blockchain Networks: A Proposed Optimized Solution 1
Kamurthi Ravi Teja and Shakti Raj Chopra
1.1 Introduction 2
1.2 Methodology 3
1.3 Experimental Analysis 4
1.4 Results and Discussion 5
1.5 Conclusion 7
2 Framework for UAV-Based Wireless Power Harvesting 9
Tanishk Singhal and Harpreet Singh Bedi
2.1 Introduction 9
2.2 Literature Review 10
2.3 Results and Discussion 15
2.4 Conclusion 19
3 Future Generation Technology and Feasibility Assessment 23
Pradeep Singh, Krishan Arora and Umesh C. Rathore
3.1 Introduction 24
3.2 Next-Generation Electrical Technologies 26
3.3 Artificial Intelligence 37
3.4 Machine Learning 41
3.5 Conclusion 46
4 IoT-Enabled Weather Forecasting Systems in Future Networks: Constraints and Solutions 51
Yogesh Kumar Verma, Archana Kanwar and Manoj Kumar Shukla
4.1 Introduction 52
4.2 Need of IoT-Based Weather Forecasting System 53
4.3 Methodology and Results 58
4.4 Conclusion 61
5 Cognitive Radio-Based NOMA Communication Networks 65
Indu Bala
5.1 Introduction to Cognitive Radio and NOMA Networks 66
5.2 Fundamentals of Cognitive Radio Technology 67
5.3 Principles of Non-Orthogonal Multiple Access (NOMA) 70
5.4 Integration of Cognitive Radio with NOMA 73
5.5 Performance Evaluation and Analysis 77
5.6 Applications and Use Cases 78
5.7 Challenges and Future Directions 80
5.8 Conclusion 82
6 Cognitive Radio (CR) Based Non-Orthogonal Multiple Access (NOMA) Network 87
Raja Gunasekaran, Ragavi Boopathi, Gobinath Velu Kaliyannan, Dinesh Dhanabalan and Kesavan Duraisamy
6.1 Introduction 88
6.2 Fundamentals of CR 90
6.3 Spectrum Management System 96
6.4 Noma Networks 98
6.5 Enabling Technologies 104
6.6 Conclusion 107
7 Artificial Intelligence and Machine Learning-Based Network Power Optimization Schemes 115
Jyoti, Aarti Shar, Ramandeep Sandhu, Manish Kumar Sharma and Deepika Ghai
7.1 Introduction 116
7.2 Network 117
7.3 Decentralized Connection 120
7.4 Communication Network 121
7.5 Internet of Things (IoT) 123
7.6 5G and Future Technologies 123
7.7 Network Power and Unstable Power Supply of Computer Networks 123
7.8 Adaption of Optimization Schemes to Enhance Network Power 124
7.9 Related Work 127
7.10 Traditional Evaluation AI and ML-Based Network Energy Optimization Techniques 129
7.11 AI- and ML-Based Systems for Network Energy Optimization Techniques 132
7.12 Conclusion 135
8 Integration of PV Solar Rooftop Technology for Enhanced Performance and Sustainability of Electric Vehicles: A Techno-Analytical Approach 139
Vinay Anand and Himanshu Sharma
8.1 Introduction 140
8.2 Literature Review 142
8.3 Methods and Methodology 144
8.4 Result and Discussion 147
8.5 Conclusion 153
9 The Viability of Advanced Technology for Future Generations 157
Manjushree Nayak and Ashutosh Pattnaik
9.1 Introduction 158
9.2 Communication Systems 159
9.3 Conclusion 171
10 Power Optimization and Scheduling for Multi-Layer, Multi-Dimensional 6G Communication Networks 175
Harpreet Kaur Channi, Pulkit Kumar and Ramandeep Sandhu
10.1 Introduction 176
10.2 Literature Review 177
10.3 Multi-Layer, Multi-Dimensional 6G Communication Networks 180
10.4 Power Optimization in MLMD 6G Networks 183
10.5 Scheduling Strategies for MLMD 6G Networks 184
10.6 Proposed Framework 187
10.7 Challenges and Future Directions 190
10.8 Conclusion 193
11 Industry 4.0: Future Opportunities and Challenges 199
Manoj Singh Adhikari, Raju Patel, Manoj Sindhwani, Shippu Sachdeva and Suman Lata Tripathi
11.1 Introduction 200
11.2 Future Opportunities of Industrial 4.0 201
11.3 Increased Productivity and Efficiency 202
11.4 Innovation 203
11.5 Data-Driven Decision-Making 205
11.6 Supply Chain Optimization 205
11.7 Future Challenges of Industrial 4.0 206
11.8 Data Security and Privacy 207
11.9 Skills Gap and Workforce Training 208
11.10 Interoperability and Standardization 210
11.11 Ethical and Social Implications 211
11.12 Infrastructure Investment 211
11.13 Regulatory and Legal Challenges 212
11.14 Dependency on Technology 213
11.15 Conclusion 213
12 MIMO and Its Significance 217
Shahid Hamid and Shakti Raj Chopra
12.1 Introduction 218
12.2 MIMO 219
12.3 Signal Model for MIMO 221
12.4 Standard MIMO Configurations 223
12.5 Why MIMO 224
12.6 Results 225
References 227
Index 231
