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020 _a9789819987719
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024 7 _a10.1007/978-981-99-8771-9
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
245 1 0 _aIntelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks
_h[electronic resource] /
_cedited by Javaid A. Sheikh, Taimoor Khan, Binod Kumar Kanaujia.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXI, 196 p. 66 illus., 53 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEnergy Systems in Electrical Engineering,
_x2199-8590
505 0 _aChapter 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 -- .
520 _aThe 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.
650 0 _aTelecommunication.
650 0 _aEnergy harvesting.
650 0 _aEnergy policy.
_961992
650 0 _aEnergy and state.
_966460
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aEnergy Harvesting.
650 2 4 _aEnergy Policy, Economics and Management.
_966461
700 1 _aSheikh, Javaid A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971693
700 1 _aKhan, Taimoor.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971694
700 1 _aKanaujia, Binod Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971695
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819987702
776 0 8 _iPrinted edition:
_z9789819987726
776 0 8 _iPrinted edition:
_z9789819987733
830 0 _aEnergy Systems in Electrical Engineering,
_x2199-8590
_971696
856 4 0 _uhttps://doi.org/10.1007/978-981-99-8771-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c57862
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