The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems.

This book:

Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques.
Discusses the theoretical and practical applications of channel prediction and signal detection.
Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence.
Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics.
Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions.

It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Informazioni sull?autore

Vivek Kumar Singh is currently working as Assistant Professor in the Department of Computer Science and Engineering, School of Engineering and Technology at Sharda University, India. He received Ph.D. in Computer Science and Engineering from National Institute of Technology, Uttarakhand, M. Tech in Software Engineering from Motilal Nehru National Institute of Technology Allahabad and B. E. in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. He has more than 12 years of industry, teaching and research experience in various reputed organizations. He has published good quality research articles in reputed international journals and conferences including six SCI and SCI-E journals and nine conferences out of which two are awarded best paper. His areas of interest are Computer Vision, Artificial Intelligence, Machine Learning and Visual Attention Modeling. He is involved in reviewing process in different reputed journals and conferences.

Anil Kumar Sagar is currently working as Professor of Department of Computer Science and Engineering in School of Engineering and Technology, Sharda University, India. Dr. Anil Kumar Sagar obtained his doctorate from JNU, New Delhi in the area of Ad-hoc Networks. He obtained his B.E-Computer Science & Engineering from G B Pant Engineering College Pauri Garhwal, and M.Tech from JSSATE Noida. Formerly served as a Dean Academics in Raj Kumar Goel Institute of Technology Ghaziabad. He also worked as a Member of Board of Studies in Computer Science Department at Galgotias University Greater Noida and RKGIT Ghaziabad. He is a Member in editorial board/review committee in many international/national journals and served as a program/organizing committee member for organizing several conferences. Guided 10 M.Tech (Computer Science) students and presently guiding 5 Ph. D. (Computer Science) students. He is having about 20 yrs. of teaching experience in various prestigious colleges and universities.

Parma Nand received PhD. in Computer Science & Engineering from IIT Roorkee, M.Tech & B.Tech in Computer Science & Engineering from IIT Delhi. He is having more than 27 years of experience both in industry and academia. He has published more than 150 papers in peer reviewed international/national journals and conferences. He has also published book chapters and papers in journals of international repute. He has also reviewed several books for international publishers. He has delivered many invited/key notes talks at International & National Conferences/ Workshops/Seminars in India & abroad. He is an active member of advisory/technical program committee of reputed International/National conferences & reviewer of number of reputed Journals e.g. Springer, Elsevier Journal Computers & Electrical Engineering. His research interest includes Computer Graphics, Algorithm, Distributed Computing and Wireless and Sensor networking. He has successfully completed several government funded projects.

Rani Astya is an Associate Professor in Computer Science & Engineering Department at School of Engineering & Technology Sharda University. She is B.Tech, M.Tech (IIT Roorkee), Phd (Banasthali Vidyapith). She is having 20yr of experience in academics, currently teaching Computer Science subjects for B.Tech, M.Tech, MCA and BCA. She has published 45 Research papers in well-known peer reviewed International Conference and Journals and currently working research on Under Water Sensor Networking. She has also published 2 Book chapters. She has guided number of students for their projects. Under her guidance number students participated & won the Hackathon competitions. She is the Coordinator of Technical society, Mentor Mentee, Curriculum, Conducted number of technical events. She has filed 20+ patent in which 15 patents has been published another are also lined up in the future.

Omprakash Kaiwartya is currently working at the Department of Computer Science, Nottingham Trent University (NTU), UK as a Senior Lecturer and Course Leader for MSc Engineering (Electronics). Previously, he was a Research Associate (equivalent to Senior Lecturer) in the Department of Computer and Information Science at Northumbria University, Newcastle, UK, where, he was working on a European Union project. Prior to this, he was a Post-Doctoral Fellow (equivalent to Lecturer) in the Faculty of Computing, University of Technology (UTM), Malaysia. Before moving to Malaysia, he completed his BSc in Computer Science from Guru Ghansidas Central University, Bilaspur Chhattisgarh, India and Master’s combined Ph.D. Degree from School of Computer and Systems Science, Jawaharlal Nehru University (JNU), New Delhi, India. Overall, he has authored/co-authored over 100 international publications including IEEE Journal articles, Conference Proceedings, Book Chapters, and books. Dr. Omprakash’s research interest focuses on Cyber Security in Connected Systems for diverse domain areas including Transport, Healthcare, and Industrial Production. His recent scientific contributions are on Internet of Connected Vehicles (IoV), E-Mobility, Electronic Vehicles Charging Management (EV), Internet of Healthcare Things (IoHT), Smart use case implementation of Sensor Networks, and Next Generation Wireless Communication Technologies (6G and Beyond). Furthermore, Omprakash is a Fellow of Higher Education Academy (FHEA), IEEE Senior member and BCS Professional member. He has served as a TPC Member or Reviewer in 100+ International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for 30+ International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Omprakash has been an editorial member of various Special Issues with top-ranked journals in Communication Society and serving as an Associate Editor of IET Intelligent Transport Systems, IEEE Internet of Things Journal, Springer, EURASIP Journal on Wireless Communication and Networking, MDPI Electronics, Ad-Hoc and Sensor Wireless Networks, and KSII Transactions on Internet & Information Systems.

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