Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications.
Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks.
Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.
Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications.
Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks.
Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.
Chintan Bhatt, Ph.D. is currently working as an
Assistant Professor in Computer Engineering department, Chandubhai
S. Patel Institute of Technology, CHARUSAT. He is a member of IEEE,
EAI, ACM, CSI, AIRCC and IAENG (International Association of
Engineers). His areas of interest include Internet of Things, Data
Mining, Web Mining, Networking, Security Mobile Computing, Big Data
and Software Engineering. He has more than 5 years of teaching
experience and research experience, having good teaching and
research interests. He has chaired a track in CSNT 2015 and ICTCS
2014.
He has been working as Reviewer in Wireless Communications, IEEE
(Impact Factor-6.524) and Internet of Things Journal, IEEE,
Knowledge-Based Systems, Elsevier (Impact Factor-2.9) Applied
Computing and Informatics, Elsevier and Mobile Networks and
Applications, Springer. He has delivered an expert talk on Internet
of Things at Broadcast Engineering Society Doordarshan, Ahmedabad
on 30/09/2015. He has been awarded Faculty with Maximum Publication
in CSIC Award and Paper Presenter Award at International Conference
in CSI-2015, held at New Delhi.
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