Intelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks / / edited by Javaid A. Sheikh, Taimoor Khan, Binod Kumar Kanaujia
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| Titolo: |
Intelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks / / edited by Javaid A. Sheikh, Taimoor Khan, Binod Kumar Kanaujia
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (202 pages) |
| Disciplina: | 363.70028563 |
| Soggetto topico: | Telecommunication |
| Energy harvesting | |
| Energy policy | |
| Communications Engineering, Networks | |
| Energy Harvesting | |
| Energy Policy, Economics and Management | |
| Persona (resp. second.): | SheikhJavaid A. |
| KhanTaimoor | |
| KanaujiaBinod Kumar | |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | 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 -- . |
| Sommario/riassunto: | The book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove to a core 5G and 6G enablers. It consists of 11 chapters with varied fields. The book introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Also, it 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. More importantly it also 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. |
| Titolo autorizzato: | Intelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks |
| ISBN: | 981-9987-71-7 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910841862303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Energy Systems in Electrical Engineering, . 2199-8590