{"product_id":"ai-enabled-6g-networks-and-applications-isbn-9781119812647","title":"AI-Enabled 6G Networks and Applications","description":"\u003cb\u003eAI-ENABLED 6G NETWORKS AND APPLICATIONS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eProvides authoritative guidance on utilizing AI techniques in 6G network design and optimization\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eWritten and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAI-Enabled 6G Networks and Applications\u003c\/i\u003e includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks.  \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eReviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management\u003c\/li\u003e \u003cli\u003eDescribes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management\u003c\/li\u003e \u003cli\u003eIdentifies and provides solutions to problems in current 4G\/5G networks and  emergent 6G architectures\u003c\/li\u003e \u003cli\u003eDiscusses privacy and security issues in IoT-enabled 6G Networks\u003c\/li\u003e \u003cli\u003eExamines the use of machine learning to achieve closed-loop optimization and intelligent wireless communication\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eAI-Enabled 6G Networks and Applications\u003c\/i\u003e is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering. \u003c\/p\u003e\u003cp\u003eNotes on Contributors\u003c\/p\u003e \u003cp\u003ePreface\u003c\/p\u003e \u003cp\u003eAbout the Editors\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 1\u003c\/p\u003e \u003cp\u003eMetaheuristic Moth Flame Optimization Based Energy Efficient Clustering Protocol for 6G Enabled Unmanned Aerial Vehicle Networks\u003c\/p\u003e \u003cp\u003eAdnen El Amraoui\u003c\/p\u003e \u003cp\u003eAssociate Professor, Univ. Artois, U.R. 3926\u003c\/p\u003e \u003cp\u003eLaboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Béthune, France\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 2\u003c\/p\u003e \u003cp\u003eA Novel Data Offloading with Deep Learning Enabled Cyberattack Detection Model for Edge Computing in 6G Networks\u003c\/p\u003e \u003cp\u003eElsaid M. Abdelrahim\u003c\/p\u003e \u003cp\u003eDepartment of Mathematics Computer Science Division, Faculty of Science, Tanta University, Tanta, Egypt.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 3\u003c\/p\u003e \u003cp\u003eHenry Gas Solubility Optimization with Deep Learning Enabled Traffic Flow Forecasting in 6G Enabled Vehicular Networks\u003c\/p\u003e \u003cp\u003e1,2José Escorcia-Gutierrez, 3Melitsa Torres-Torres, 4Kelvin Beleño, 5Carlos Soto\u003c\/p\u003e \u003cp\u003e1Electronics and Telecommunications Engineering Program, Universidad Autónoma del Caribe, Barranquilla, 08001, Colombia\u003c\/p\u003e \u003cp\u003e2Research Center - CIENS, Escuela Naval de Suboficiales A.R.C. \"Barranquilla\", Barranquilla, Colombia\u003c\/p\u003e \u003cp\u003e3Research group IET-UAC,Universidad Autónoma del Caribe, 08001 Barranquilla, Colombia\u003c\/p\u003e \u003cp\u003e4Mechatronics Engineering Program, Universidad Autónoma del Caribe, Barranquilla, 08001, Colombia\u003c\/p\u003e \u003cp\u003e5Mechanical Engineering Program, Universidad Autónoma del Caribe, Barranquilla, 08001, Colombia\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 4\u003c\/p\u003e \u003cp\u003eCrow Search Algorithm based Vector Quantization Approach for Image Compression in 6G Enabled Industrial Internet of Things Environment\u003c\/p\u003e \u003cp\u003eMaha M. Althobaiti\u003c\/p\u003e \u003cp\u003e‏Department of Computer Science, College of Computing and Information technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 5\u003c\/p\u003e \u003cp\u003eDesign of Artificial Intelligence Enabled Dingo Optimizer for Energy Management in 6G Communication Networks\u003c\/p\u003e \u003cp\u003e1,2Pooja Singh, 3,4Marcello Carvalho dos Reis, 5Victor Hugo C. de Albuquerque\u003c\/p\u003e \u003cp\u003e1Postdoctoral Fellow, Federal Institute of Education, Science, and Technology of Ceara (IFCE), Fortaleza, Ceara, Brazil.\u003c\/p\u003e \u003cp\u003e2Associate Professor, Department of Computer Science \u0026amp; Engineering, GL Bajaj Institute of Technology \u0026amp; Management, Knowledge Park-3, Greater Noida (U.P.) India- 201306\u003c\/p\u003e \u003cp\u003e3Graduate Program in Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza\/CE, Brazil.\u003c\/p\u003e \u003cp\u003e4Meteora, Fortaleza\/CE, Brazil\u003c\/p\u003e \u003cp\u003e5Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza\/CE, Brazil\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 6\u003c\/p\u003e \u003cp\u003eAdaptive Whale Optimization with Deep Learning Enabled RefineDet Network for Vision Assistance on 6G Networks\u003c\/p\u003e \u003cp\u003e1,2Vinita Malik, 3,4Marcello Carvalho dos Reis, 5Victor Hugo C. de Albuquerque\u003c\/p\u003e \u003cp\u003e1Postdoctoral Fellow, Federal Institute of Education, Science, and Technology of Ceara (IFCE), Fortaleza, Ceara, Brazil.\u003c\/p\u003e \u003cp\u003e2Information Scientist, Central University of Haryana, Haryana, India- 201306\u003c\/p\u003e \u003cp\u003e3Graduate Program in Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza\/CE, Brazil.\u003c\/p\u003e \u003cp\u003e4Meteora, Fortaleza\/CE, Brazil\u003c\/p\u003e \u003cp\u003e5Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza\/CE, Brazil\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 7\u003c\/p\u003e \u003cp\u003eEfficient Deer Hunting Optimization Algorithm based Spectrum Sensing Approach for 6G Communication Networks\u003c\/p\u003e \u003cp\u003eR. Pandi Selvam, Kanagaraj Narayanasamy, M. Ilayaraja\u003c\/p\u003e \u003cp\u003ePG Department of Computer Science, Vidhyaa Giri College of Arts \u0026amp; Science, Karaikudi- 630 108, India\u003c\/p\u003e \u003cp\u003eDepartment of Computer Applications, J.J. College of Arts and Science (Autonomous), Pudukkottai- 622 422, India\u003c\/p\u003e \u003cp\u003eSchool of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, India\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 8\u003c\/p\u003e \u003cp\u003eElite Oppositional Hunger Games Search Optimization based Cooperative Spectrum Sensing Scheme for 6G Cognitive Radio Networks\u003c\/p\u003e \u003cp\u003eEmad A-B Abdel-Salam, Ayman M. Mahmoud, Romany F. Mansour\u003c\/p\u003e \u003cp\u003eDepartment of Mathematics, Faculty of Science, New Valley University, El-Kharga 72511, Egypt\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDeepak Gupta,\u003c\/b\u003e Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. His research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eMahmoud Ragab, PhD.,\u003c\/b\u003e Department of Information Technology, King Abdulaziz University, Saudi Arabia. Head of the Biological Quantum Computing Unit in the Centre for Artificial Intelligence in Precision Medicine. Associate Professor, Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.    \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRomany Fouad Mansour, PhD.,\u003c\/b\u003e Department of Mathematics, New Valley University, Egypt. His research interests include Artificial Intelligence, Pattern Recognition, Computer Vision, Computer Networks, Soft Computing, Image Processing, Bioinformatics and Evolutionary Computation. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAditya Khamparia,\u003c\/b\u003e Assistant Professor, Baba Saheb Bhimrao Amedkar (Central) University, Amethi, India. His teaching and research focus on machine learning, deep learning, educational technologies, and computer vision. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAshish Khanna,\u003c\/b\u003e Assistant Professor, Maharaja Agrasen Institute of Technology, Delhi, India. He has extensive academic and industry experience in areas such as image processing, distributed systems, and machine learning.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eProvides authoritative guidance on utilizing AI techniques in 6G network design and optimization\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWritten and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAI-Enabled 6G Networks and Applications\u003c\/i\u003e includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks.  \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eReviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management\u003c\/li\u003e \u003cli\u003eDescribes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management\u003c\/li\u003e \u003cli\u003eIdentifies and provides solutions to problems in current 4G\/5G networks and  emergent 6G architectures\u003c\/li\u003e \u003cli\u003eDiscusses privacy and security issues in IoT-enabled 6G Networks\u003c\/li\u003e \u003cli\u003eExamines the use of machine learning to achieve closed-loop optimization and intelligent wireless communication\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eAI-Enabled 6G Networks and Applications\u003c\/i\u003e is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988708540645,"sku":"NP9781119812647","price":120.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119812647.jpg?v=1761781277","url":"https:\/\/k12savings.com\/es\/products\/ai-enabled-6g-networks-and-applications-isbn-9781119812647","provider":"K12savings","version":"1.0","type":"link"}