04104nam a22005775i 4500 978-981-99-8771-9 DE-He213 20251030111442.0 cr nn 008mamaa 240224s2024 si | s |||| 0|eng d 9789819987719 978-981-99-8771-9 10.1007/978-981-99-8771-9 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Intelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks [electronic resource] / edited by Javaid A. Sheikh, Taimoor Khan, Binod Kumar Kanaujia. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XI, 196 p. 66 illus., 53 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Energy Systems in Electrical Engineering, 2199-8590 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 -- . 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. Telecommunication. Energy harvesting. Energy policy. 61992 Energy and state. 66460 Communications Engineering, Networks. Energy Harvesting. Energy Policy, Economics and Management. 66461 Sheikh, Javaid A. editor. edt http://id.loc.gov/vocabulary/relators/edt 71693 Khan, Taimoor. editor. edt http://id.loc.gov/vocabulary/relators/edt 71694 Kanaujia, Binod Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt 71695 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819987702 Printed edition: 9789819987726 Printed edition: 9789819987733 Energy Systems in Electrical Engineering, 2199-8590 71696 https://doi.org/10.1007/978-981-99-8771-9 ZDB-2-ENG ZDB-2-SXE 57862 57862