Paperback. This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANETThe book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering. The reference text covers big data concept in cloud based Wireless Ad hoc network and machine learning approaches in a single volume. It will be an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks (Paperback)
Editor: Taylor & Francis Ltd, London
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 1032073284
ISBN 13: 9781032073286
Encuadernaci�n: Paperback
Estado: new

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Sinopsis

The reference text covers big data concept in cloud based Wireless Ad hoc network and machine learning approaches in a single volume. It will be an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.

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Dr. Sanjoy Das is currently working as Professor Department of Computer Science, Indira Gandhi National Tribal University (A Central Government University), Amarkantak, M.P. (Manipur Campus)- India. He did his B. E. and M. Tech in Computer Science and Engineering. He has obtained his Ph.D. in Computer Science and Technology from School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. Before joining IGNTU, he has worked as an Associate Professor, School of Computing Science and Engineering, Galgotias University, India, July 2016 to Sept 2017. He has worked as Assistant Prof. at Galgotias University from Sept 2012 to June 2016. As Assistant Professor G. B. Pant Engineering College, Uttarakhand, and Assam University, Silchar, from 2001-2008. His current research interest includes Mobile Ad hoc Networks and Vehicular Ad hoc Networks, Distributed Systems, Data Mining. He has published numerous papers in international journals and conferences, including IEEE, IGI Global, Inderscience, Elsevier and Springer.

Dr. Ram Shringar Rao is currently working as an Associate Professor in the Department of Computer Science and Engineering of Netaji Subhas University of Technology, East Campus, Delhi , India. He has received his B. E. (Computer Science and Engineering) and M. Tech (Information Technology) in 2000 and 2005 respectively. He has obtained his Ph.D. (Computer Science and Technology) from School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India in 2011. He has worked as an Associate Professor in the Department of Computer Science, Indira Gandhi National Tribal University (A Central University, MP) from April 2016 to March 2018. He has more than 18 years of teaching, administrative and research experience. Currently, he is associated with a wide range of journals and conferences as chief editor, editor, chairs and members. His current research interest includes Mobile Ad hoc Networks and Vehicular Ad hoc Networks. He is supervising many M. Tech and PhD students. Dr. Raw has published more than 100 research papers with good impact factors in reputed International Journals and Conferences including IEEE, Elsevier, Springer, Wiley & Sons, Taylor & Francis, Inderscience, Hindawi, IERI Letters, American Institute of Physics, etc.

Dr. Vishal Jain, PhD, is an Associate Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He has more than 480 research citation indices with Google Scholar (h-index score 12 and i-16 index 11). He has authored more than 85 research papers in reputed conferences and journals, including the Web of Science and Scopus. He has authored and edited more than 15 books with various reputed publishers, including Elsevier, Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, DeGruyter and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India and a Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi. He holds PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP and CCNA.

Dr. Indrani Das did her B.E. and M. Tech. in Computer Science. She received her Ph.D. from the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India, in 2015. She is working as Assistant Professor in the Computer Science department at Assam University (A Central University), Assam, India, since 2008. Her current research interest includes Mobile Ad hoc Networks, Wireless Sensor Networks, Internet of Things and Vehicular Ad hoc Networks.

Dr. Nanhay Singh is working as a Professor in the Department of Computer Science and Engineering at Netaji Subhas University of Technology, East Campus, Delhi, India. Presently he is in the chair of Head of Department. His research areas are Web Engineering, Data Mining, Cloud Computing, IoT, and Ad hoc Network. Dr. Singh has published many research articles in reputed International Journals and Conferences. Dr. Singh also is the member of various Professional Bodies and delivered the many expert talk in reputed Universities and Institutes. He is supervising many research scholars. He has also organised various International Conference and Faculty Development Programs on various latest research areas. He is also the member of selection committee of various organisation.

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