1st Edition

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

    284 Pages 122 B/W Illustrations
    by CRC Press

    This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems.

    The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications.

    The book is written as a reference that offers the latest technologies and research results to various industry problems.

    1. Machine Learning Driven Design and Optimization of Mobile/Wireless System. 2. Intelligent Algorithm and Techniques for Effective Wireless Communication. 3. Machine Learning Based Intelligent Protocols. 4. Intelligent Schemes with Machine Learning and Deep Learning for Congestion Control. 5. Resource Allocation and Optimization in Wireless Network Using Machine Learning and Deep Learning. 6. Data Analysis and Security Schemes. 7. Applications of Machine Learning and Deep Learning. 8. Multimedia Communication. 9. Energy Management.


    K. Suganthi received her B.E. degree in Computer Science and Engineering from Madras University, Masters in Systems Engineering and Operations Research and Ph.D. in Wireless Sensor Network from the Anna University. She is currently working as Assistant Professor Senior in the School of Electronics Engineering (SENSE) at Vellore Institute of Technology, Chennai campus, India since 2016. She is the author of about 20 scientific publications on journals and International conferences. Her research interests include Wireless Sensor Network, Internet of Things, Data Analytics and AI.

    R. Karthik obtained his Doctoral degree from Vellore Institute of Technology, India and Master’s degree from Anna University, India. Currently, He serves as Senior Assistant Professor in the Research Center for Cyber Physical Systems, Vellore Institute of Technology, Chennai. His research interest includes Deep Learning, Computer Vision, Digital Image Processing, and Medical Image Analysis. He has published around 32 papers in peer reviewed journals and conferences. He is an active reviewer for journals published by Elsevier, IEEE Springer and Nature.

    G. Rajesh is working as an Assistant professor, Department of Information Technology of Anna University, Chennai, India. He completed his PhD from Anna University, Chennai in wireless sensor networks. He has around 12 years of teaching and research experience. His area of research interest includes wireless sensor networks and its IoT applications, software engineering and computational optimization. He published more than 20 research papers in journals and conferences. 

    Peter Ho Chiung Ching received his Ph.D. in Information Technology from the Faculty of Computing and Informatics, Multimedia University. His doctoral research work was on the performance evaluation of multimodal biometric systems using fusion techniques. Dr. Ho is a Senior Member of the Institute of Electrical and Electronics Engineers. Dr. Ho has published a number of peer reviewed papers related to location intelligence, multimodal biometrics, action recognition and text mining. He is currently an Adjunct Senior Research Fellow in the Department of Computing and Information Systems, School of Science and Technology, Sunway University.