Sustainable Resource Management in Next-Generation Computational Constrained Networks
- 419 pages
- English
- PDF
- Available on iOS & Android
Sustainable Resource Management in Next-Generation Computational Constrained Networks
About this book
The book provides essential insights into cutting-edge networking technologies that not only enhance performance and efficiency but also address critical sustainability challenges in an increasingly connected world.
The landscape of networking and computational technologies is rapidly evolving, driven by the increasing demand for efficient and sustainable resource management. The advent of next-generation technologies such as 5G and 6G has marked a significant leap in enabling high-capacity, low-latency communication and massive connectivity. These advancements are crucial for supporting the growing number of connected devices and complex applications they run, particularly in environments with limited processing, memory, and energy capabilities.
Sustainable Resource Management in Next-Generation Computational Constrained Networks provides insight into the advancements of recent cutting-edge networking technologies that cater to society's needs more efficiently, meeting the expectations of sustainable resource management in computationally constrained networks. By exploring the practical applications of various next-generation technologies, the book addresses critical challenges such as scalability, interoperability, energy efficiency, and security. This knowledge equips professionals with the tools to enhance network performance, optimize resource management, and develop innovative solutions for sustainable and efficient computational networks, ultimately contributing to the advancement of technology and societal well-being.
Readers will find this book:
- Provides thorough reviews on a wide range of cutting-edge network technologies contributing to resource management in computationally constrained networks;
- Explores the role of various network technologies for the development of sustainable applications;
- Details architectural viewpoints of integrating emerging network technologies with real-world applications to manage network resources efficiently;
- Highlights challenges in integrating the latest network technologies with sustainable real-world applications;
- Discusses real-world case studies of various network technologies in leveraging sustainable resource management for the fulfillment of different industrial and societal needs.
Audience
Software engineers, electronic engineers, and policymakers in the networking and security domain.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1 Enhancing Digital Learning Pedagogy for Lecture Video Recommendation Using Brain Wave Signal
- Chapter 2 Blockchain-Based Sustainable Supply Chain Management
- Chapter 3 Revolutionizing Aquaculture With the Internet of Things (IoT): An Insightful Learning
- Chapter 4 Energy Consumption Optimization in Wireless Sensor Networks
- Chapter 5 Airline Prediction Using Customer Feedback and Rating Using Machine Learning and Deep Learning
- Chapter 6 The Breakthrough of Future Delivery: Delivery Robots
- Chapter 7 Emergence of Cloud Computing in IoT Applications
- Chapter 8 Conceptual Assessment of Sensory Networks and Its Functional Aspects
- Chapter 9 System Security Using Artificial Intelligence and Reduction of Data Breach
- Chapter 10 Mitigating DDoS Attacks: Empowering Network Infrastructure Resilience with AI and ML
- Chapter 11 CyberEDU: An Interactive Educational Tool for DDoS Attack Simulation and Prevention
- Chapter 12 Resource Management and Performance Optimization in Constraint Network Systems
- Chapter 13 Resource-Constrained Network Management Using Software-Defined Networks
- Chapter 14 Vehicles Smoke Monitoring Using Internet of Things and Machine Learning
- Chapter 15 Enhancing Home Security through IoT Innovation: Recommendations for Biometric Door Lock System to Deter Break-Ins
- Index
- Also of Interest
- EULA