Overview

Design and Analysis of Green and Sustainable IoT Technologies for Future Wireless Communications explores innovative approaches to developing eco-friendly Internet of Things solutions, focusing on energy efficiency and minimizing environmental impact. The book gathers insights from experts in wireless communications, signal processing, and antenna design, offering a comprehensive overview of advanced techniques for creating sustainable IoT devices. By examining the intersection of technology and sustainability, this resource lays a vital foundation for future progress, addressing the growing demand for connected devices while emphasizing the importance of reducing carbon emissions in alignment with global climate goals. The book also examines the challenges and solutions for integrating IoT into smart cities, factories, homes, and healthcare systems. It discusses the need to efficiently manage multiple wireless spectrum bands, such as Sub-6 GHz, millimeter-wave, and Terahertz technologies, for seamless multi-access environments. Furthermore, the book underscores the significance of maintaining net zero carbon emissions as IoT expands, aligning technological advancements with the objectives set by COP26.

Full Product Details

Author:   Muhammad Ali Jamshed, BSc, MSc, PhD (University of Glasgow, UK) ,  Awais Aziz Shah, BSc, MSc, PhD (Lecturer, School of Computing Science, University of Glasgow, UK)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443330001

ISBN 10:   044333000
Pages:   258
Publication Date:   31 October 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction to Green IoT Devices 2. Rate Optimization Using Low Complex Methods with Reconfigurable Intelligent Surfaces for Green IoT Networks 3. Hardware Design Challenges for Green IoT Devices 4. Optimization Design in RIS-assisted Integrated Satellite-UAV-Served 6G IoT: A Deep Reinforcement Learning Approach 5. Multi-Objective Optimization for 3D Placement and Resource Allocation in OFDMA-based Multi-UAV Networks 6. 6G driven Vehicular Tracking in Smart Cities using Intelligent Reflecting Surfaces 7. Energy-Efficient RIS-Enabled NOMA Communication for 6G LEO Satellite Networks 8. Optimizing Resource Utilization using Vector Databases in Green Internet of Things 9. Performance Analysis of STAR-RIS Enhanced CoMP-NOMA Multi-Cell Networks 10. Road Ahead for Green IoT Technologies

Reviews

Author Information

Muhammad Ali Jamshed currently works with the University of Glasgow and served as a Technical Consultant at Briteyellow. He earned a PhD degree in Electronics Engineering from the 5G/6G Innovation Centre, University of Surrey, U.K, in 2021 and is endorsed by Royal Academy of Engineering under exceptional talent category, in 2021. He is a Fellow of the Royal Society of Arts, and a Senior Member of IEEE. His main research interests include EMF exposure reduction, low SAR antennas for mobile handsets, machine learning for wireless communication, Satellite Communication, Backscatter communication, and wireless sensor networks. Awais Aziz Shah is working as a lecturer in the school of computing science at the University of Glasgow. He is a member of the Glasgow Systems Section (GLASS). His research is focused towards using Network Programmability and Resilience using Software-Defined Networks (SDN), Network Function Virtualisation (NFV) and virtualisation technologies such as containers to virtualise the modern network infrastructures in achieving low-latency, energy efficiency, Quality of Service (QoS), and optimal Virtual Network Functions (VNF) chain deployments. He is also working on detecting threats to the Critical Infrastructures (CI) such as Industrial Control Systems (ICS) and Smart Grids using Machine Learning techniques. During his PhD at the Telematics Lab, Politecnico di Bari, Italy, he developed an SDN-based hierarchical framework for the orchestration and management of VNFs in Optical Transport Networks. Through this work, in collaboration with industrial partners from Telco industry in Italy (SMOptics and Experis), he simulated large-scale optical nodes been monitored by multiple levels of SDN controllers and centeralised network service orchestrator inside the OpenStack Cloud. Furthermore, he have worked on developing a routing strategy for Transport Networks using SDN to ensure energy efficiency and at the same time QoS. Moreover, he has served as a Research Fellow from December 2021 to September 2022 in the Communication, Sensing and Imaging group on several use cases under the umbrella of Scotland 5G testbed that includes orchestration of services on the 5G testbed using SDN and Internet of Things frameworks

Tab Content 6

Author Website:  

Countries Available

All regions