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Green Energy Driven Integrated Smart Grid and Wireless Networks
Hardcover
Series: Wireless Networks
Technology & EngineeringNetworking
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ISBN13: 9783032205087
Publisher: Springer
Published: Jul 14 2026
Pages: 140
Weight: 0.82
Height: 0.58 Width: 6.49 Depth: 9.32
Language: English
This book outlines the design of green energy driven, integrated smart grid and wireless networks. It also explores the integration of renewable energy with the traditional power grid. The core idea is to enable each grid user to be a potential energy source for the grid, thereby revising the conventional idea of power grids. A grid networked system of such distributed ambient powered nodes can potentially act as a carbon-free energy producer system to the power grid in addition to an energy prosumer system. The need for this book stems from increased power consumption in contemporary communication systems, the inflexibility of the traditional power grid, and the non-scalability of standalone green communication systems
Chapter 1 outlines the upcoming research theme of 6G communications and highlights the importance of sustainability. From a beginner's perspective, Chapter 3 presents insights on the design constraints and challenges in system analysis. It details the inherent cost metrics and network operations associated with ambient powered tele-networks. Chapter 2 acts as a benchmark, wherein a detailed design and performance evaluation in purely off-grid solar powered base stations is presented. The chapter includes insights on the outage prone-ness of ambient powered nodes and presents a Markovian framework to estimate the outages through first principles. Chapter 4 and Chapter 5 present an in-depth analysis of grid networked and ambient powered telecommunication networks, presenting optimal amounts of energy which the nodes can share among each other or trade with the grid. Chapter 4 first presents a cooperative energy balancing based framework among the networked nodes. Through energy balancing, the improvement in network green energy utilization is shown, thereby realizing carbon free green networks. Chapter 5 analyzes the ambient powered and networked system from an operator perspective. By incorporating revenue awareness, it illustrates the beneficial effects of energy balancing and its complementarity to load balancing, aiding the scalability of green solutions from an industry perspective. From a system perspective, a joint load-energy balancing is studied, showing insights on the operator revenue being influenced by user service and network green energy utilization.
Chapter 6 showcases an aerial-terrestrial green network design, wherein the inherent coupling between the data and energy networks of the system are studied. As a case study, system performance is evaluated for a aerial base station (BS) aided terrestrial network. Chapter 7 demonstrates a wider perspective of the energy balancing in networks, through a residential setting. It is worthwhile to note that the concept of energy balancing can be easily extended to energy aware network design, including ambient internet of things (IoT), wireless sensor networks, or green data center networks. Chapter 8 presents a glimpse of green artificial intelligence (AI) aided future networks. The key research directions wireless communication networks are showcased, wherein AI can be used to improve upon the current state of art. The chapter also gives a detailed discussion on upcoming green AI models, the tradeoff between energy efficiency and AI performance, and the need to develop computationally light and efficient AI models for future networks.
This book targets advanced-level students in computer science and electrical engineering focused on this topic. Professionals scaling green service provisioning solutions to large networks will also find this book useful as a reference.
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