Design and Analysis of Green and Sustainable IoT Technologies for Future Wireless Communications
- 1st Edition - December 1, 2025
- Imprint: Academic Press
- Editors: Muhammad Ali Jamshed, Awais Aziz Shah
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 0 0 0 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 0 0 1 - 8
To realise the 6G vision of hyper-human connectivity where numerous IoT applications are envisaged for smart cities, smart factories, smart homes, smart e-health etc, future IoT… Read more
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To realise the 6G vision of hyper-human connectivity where numerous IoT applications are envisaged for smart cities, smart factories, smart homes, smart e-health etc, future IoT systems will require a large number of devices and multi-access environments where different types of wireless spectrum - including Sub-6 GHz, millimetre-wave and Terahertz technologies- need to be efficiently utilized. However, this increases the challenge of keeping a net zero emission carbon rate in line with the goals of COP26. Design and Analysis of Green and Sustainable IoT Technologies for Future Wireless Communication presents a wide range of technologies for the development of greener and sustainable IoT. It brings together a multidisciplinary team of researchers in academia and industry – from wireless communications, signal processing, and antenna design – to present the latest techniques to designing energy efficient IoT devices, laying the foundation for future advances in this important area
- First comprehensive book dedicated to developing green and sustainable IoT systems
- Covers fundamentals and practical implementation.
- Presents the latest technological advances for designing and implementing Green IoT systems.
- Presents future research challenges and gives a perspective of the road ahead for Green IoT technologies
University and industry researchers for 5G/6G systems; graduate students in communications engineering; wireless user equipment designers and hardware engineers; postgraduate students in antennas for communication systems; researchers working on energy efficiency; Industry regulators
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
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
- Edition: 1
- Published: December 1, 2025
- Imprint: Academic Press
- Language: English
MJ
Muhammad Ali Jamshed
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.
Affiliations and expertise
University of Glasgow, UKAS
Awais Aziz Shah
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
Affiliations and expertise
Lecturer, School of Computing Science, University of Glasgow, UK