Energy Efficient Wireless Network Design 1st edition by Ioannis Caragiannis, Christos Kaklamanis, Panagiotis Kanellopoulos ISBN 3540206958 9783540206958

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Product details:

ISBN 10:       3540206958
ISBN 13: 978-3540206958
Author:       Ioannis Caragiannis, Christos Kaklamanis, Panagiotis Kanellopoulos  
 

Energy-Efficient Wireless Network Design 1st Table of contents:

1. Introduction

   • 1.1 Motivation for Energy-Efficient Wireless Network Design
   • 1.2 Importance of Energy Efficiency in Modern Wireless Networks
   • 1.3 Problem Definition and Key Challenges
   • 1.4 Contributions of the Paper
   • 1.5 Structure of the Paper

2. Background and Related Work

   • 2.1 Overview of Wireless Network Design
   • 2.2 Energy Consumption Models in Wireless Networks
   • 2.3 Energy-Efficient Strategies in Network Design
   • 2.4 Related Work on Energy-Efficient Network Design Techniques
   • 2.5 Comparison of Existing Approaches to Energy-Efficiency

3. Preliminaries

   • 3.1 Wireless Network Architecture: Key Components and Concepts
   • 3.2 Network Models for Energy-Efficiency
   • 3.3 Metrics for Energy Efficiency in Wireless Networks
   • 3.4 Overview of Optimization Techniques for Wireless Networks

4. Energy-Efficient Network Design Models

   • 4.1 Design Objectives and Constraints in Energy-Efficient Networks
   • 4.2 Power Consumption Models for Network Devices (e.g., Base Stations, Mobile Devices)
   • 4.3 Energy-Efficient Routing and Transmission Techniques
   • 4.4 Topology Design and Energy Minimization
   • 4.5 Energy-Efficient Resource Allocation (Spectrum, Power, Bandwidth)
   • 4.6 Energy Efficiency in Multi-tier and Heterogeneous Networks

5. Optimization Techniques for Energy-Efficient Network Design

   • 5.1 Mathematical Formulation of Energy-Efficient Network Design Problems
   • 5.2 Linear Programming and Mixed-Integer Programming Approaches
   • 5.3 Heuristic Algorithms for Energy-Efficient Network Design
   • 5.4 Metaheuristic Approaches (e.g., Genetic Algorithms, Simulated Annealing)
   • 5.5 Game Theory-Based Approaches for Energy Optimization
   • 5.6 Distributed and Decentralized Optimization for Energy-Efficient Networks

6. Energy-Efficient Protocols and Communication Strategies

   • 6.1 Energy-Efficient Routing Protocols (e.g., AODV, DSR, OLSR)
   • 6.2 Power Control Protocols for Wireless Links
   • 6.3 Sleep and Duty-Cycle Scheduling Protocols
   • 6.4 Network Layer Optimizations for Energy Efficiency
   • 6.5 Cross-Layer Design Approaches for Energy-Efficient Communication
   • 6.6 Energy Harvesting and Sustainable Energy Solutions in Wireless Networks

7. Experimental Results and Performance Evaluation

   • 7.1 Experimental Setup and Methodology
   • 7.2 Benchmarking Energy-Efficient Design Approaches
   • 7.3 Simulation Results on Energy Consumption and Network Performance
   • 7.4 Case Study: Energy-Efficiency in IoT Networks
   • 7.5 Sensitivity Analysis of Design Parameters (e.g., Node Density, Transmission Power)
   • 7.6 Comparison of Energy-Efficiency Across Different Network Scenarios

8. Applications of Energy-Efficient Wireless Network Design

   • 8.1 Energy-Efficiency in 5G and Beyond
   • 8.2 Low-Power Wide-Area Networks (LPWANs)
   • 8.3 Wireless Sensor Networks (WSNs) and Internet of Things (IoT)
   • 8.4 Smart Cities and Energy-Efficient Communication Infrastructure
   • 8.5 Applications in Autonomous Vehicles and Vehicular Networks
   • 8.6 Green Communication in Cloud and Data Center Networks

9. Challenges and Limitations

   • 9.1 Scalability of Energy-Efficient Designs for Large-Scale Networks
   • 9.2 Balancing Energy Efficiency with Network Performance (Latency, Throughput)
   • 9.3 Energy Consumption in Dynamic and Mobile Environments
   • 9.4 Power Consumption in Real-World Wireless Devices
   • 9.5 Open Problems and Research Directions in Energy-Efficient Wireless Networks

10. Future Directions

• 10.1 Advances in Energy-Efficient Wireless Technologies (e.g., Massive MIMO, Millimeter-Wave)
• 10.2 Integration of Renewable Energy Sources in Wireless Network Design
• 10.3 Machine Learning and AI for Energy-Aware Network Optimization
• 10.4 Collaborative Energy Management in Multi-Cell and Multi-Network Environments
• 10.5 Exploration of Quantum Technologies for Low-Energy Wireless Communications

11. Conclusion

• 11.1 Summary of Key Contributions
• 11.2 Impact of Energy-Efficient Wireless Networks on Sustainability
• 11.3 Final Remarks and Vision for the Future of Energy-Efficient Networks

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