Implementing Data Analytics and Architectures for Next Generation Wireless Communications

Implementing Data Analytics and Architectures for Next Generation Wireless Communications

Release Date: August, 2021|Copyright: © 2022 |Pages: 227
DOI: 10.4018/978-1-7998-6988-7
ISBN13: 9781799869887|ISBN10: 1799869881|EISBN13: 9781799869900
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Big Data
  • Data Analytics
  • E-Health Systems
  • Encryption Techniques
  • Fog Computing
  • Internet of Things
  • Network Optimization
  • Network Security
  • Smart Cities
  • Smart Home
  • Wireless Communications
  • Wireless Networks
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Editor/Author Biographies
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.
Neeraj Kumar received his Ph.D. in CSE from SMVD University, Katra (J & K), India, and was a postdoctoral research fellow in Coventry University, Coventry, UK. He is working as an Associate Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala (Pb.), India since 2014. Dr. Neeraj is an internationally renowned researcher in the areas of VANET & CPS Smart Grid & IoT Mobile Cloud computing & Big Data and Cryptography. He has published more than 150 technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, John Wiley, and Taylor and Francis. His paper has been published in some of the high impact factors journals such as-IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Power Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Smart Grid, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Transactions on Consumer Electronics, IEEE Systems Journal, IEEE IoT Journal, IEEE Wireless Communication Magazine, IEEE Vehicular Technology Magazine, IEEE Communication Magazine, IEEE Networks Magazine etc. Apart from the journals conferences, he has also published papers in some of the core conferences of his area of specialization such as-IEEE Globecom, IEEE ICC, IEEE Greencom, IEEE CSCWD.
Ali Kashif Bashir is a Senior Lecturer/Associate Professor at the Department of Computing and Mathematics, Manchester Metropolitan University, UK. He is a senior member of IEEE, invited member of IEEE Industrial Electronic Society, member of ACM, and Distinguished Speaker of ACM. His past assignments include Associate Professor of ICT, University of the Faroe Islands, Denmark; Osaka University, Japan; Nara National College of Technology, Japan; the National Fusion Research Institute, South Korea; Southern Power Company Ltd., South Korea, and the Seoul Metropolitan Government, South Korea. He received his Ph.D. in computer science and engineering from Korea University South Korea. He has authored over 140 research articles. His research interests include internet of things, wireless networks, distributed systems, network/cyber security, cloud/network function virtualization, machine learning, etc. He is serving as the Editor-in-chief of the IEEE Future Directions Newsletter. He is leading many conferences as a chair (program, publicity, and track) and had organized workshops in flagship conferences.
Mamoun Alazab is an Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his PhD degree in Computer Science from the Federation University of Australia. He is a cyber security researcher and practitioner with industry and academic experience. Alazab’s research is multidisciplinary that focuses on cyber security with a focus on cybercrime detection and prevention. His research interest includes the intersection use of Artificial Intelligence (AI) and Machine Learning as essential tools for cybersecurity. He has more than 300 research papers (>90% in Q1, and more than 100 in IEEE/ACM Transactions) and 9 authored/edited books. He is a Senior Member of the IEEE, and the founding chair of the IEEE Northern Territory (NT) Subsection. Much of his work has been done through establishing partnership linkages with various Australian and overseas educational institutions and industry partners such as NTG, ACSC, Australian Crime Commission, AFP, Westpac Bank, IBM, Microsoft Digital Crimes Unit, and TrendMicro. He was a consultant for the United Nations Office of Crime and Drugs (UNODC) on cybercrime, and more recently on Cyber Terrorism. Many of his publications are referenced and cited in highly regarded outlets such as: UNODC, ITU, and the World Bank. Nineteen articles were listed in the top ten downloads and acknowledged as featured articles. He received several awards including IEEE Outstanding Leadership Award (2020), the CDU College of Engineering, IT and Environment Exceptional Researcher Award (2020) (2021), and 4 Best Research Paper Awards. He is ranked in top 2% of world’s scientists in the subfield discipline of Artificial Intelligence (AI) and Networking & Telecommunications, in the study published in PLOS Biology. He was ranked in the top 10% of 30k cyber security authors. He delivered more than 120 keynote speeches, chaired 56 national events and more than 90 international events; on program committees for 200 conferences. He is an Editor of 10 academic journals [many of which are Q1 & Q2].
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