Buch, Englisch, 192 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 521 g
Buch, Englisch, 192 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 521 g
Reihe: Energy Systems in Electrical Engineering
ISBN: 978-981-99-8770-2
Verlag: Springer
The book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove as a core 5G and 6G enablers. It consists of 16 chapters divided into three fields. Section 1 introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Section 2 discusses the efficient bio-inspired algorithms and their utility in wireless networks for 5G, B5G, and IoT. Different fitness functions for different bio-inspired and other artificial intelligence algorithms are described in the book. Section 3 introduces the concept, implementation, and technological challenges of efficient wireless energy harvesting methods. The book discusses different methodologies for efficient antenna designs. It also covers real-time applications on the Internet of Medical Things (IOMT). The book helps the readers to understand the subject and solve many real-time issues. It proves a ready reference to the researchers working in RF, artificial intelligence, machine learning, and communication networks.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1. Radio Frequency Energy Harvesting for Low Power Applications.- Chapter 2. Intelligent and Reliable Cognitive 5G using Whale Optimization Techniques.- Chapter 3. Wearable Antennas for Indoor and Outdoor Communications.- Chapter 4. An Overview of Different Energy Efficient Optimization Methods.- Chapter 5. An Overview of Different Energy Efficient Methods for 5G and Beyond Networks.- Chapter 6. Design of Energy Efficient RF-MEMS based Energy Harvesters for Industrial Internet of Things (IIOT).- Chapter 7. Meta-material Inspired Wideband on-body Antenna for Bio-medical Applications.- Chapter 8. Radio Frequency (RF) Energy Harvesting in IOT Devices and introduction to Rectennas.-




