Opportunistic Networks (PDF)
The opportunistic network is an emerging and recent area of research. To make this research area more adaptable for practical and industrial use, there is a need to further investigate several research challenges in all aspects of opportunistic networks....
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The opportunistic network is an emerging and recent area of research. To make this research area more adaptable for practical and industrial use, there is a need to further investigate several research challenges in all aspects of opportunistic networks. Therefore, Opportunistic Networks: Fundamentals, Applications and Emerging Trends provides theoretical, algorithmic, simulation, and implementation-based research developments related to fundamentals, applications, and emerging research trends in opportunistic networks.
The book follows a theoretical approach to describe fundamentals to beginners and incorporates a practical approach depicting the implementation of real-life applications to intermediate and advanced readers. This book is beneficial for academicians, researchers, developers, and engineers who work in or are interested in the fields related to opportunistic networks, delay tolerant networks, and intermittently connected ad hoc networks. This book also serves as a reference book for graduate and postgraduate courses in computer science, computer engineering, and information technology streams.
Dr. Pradeepika Verma received her Ph.D. degree in Computer Science & Engineering from Indian Institute of Technology (ISM) Dhanbad, India, in 2020. She has received M.Tech in Computer Science & Engineering from Banasthali University, Rajasthan, India, in 2013. Currently, she is working as Assistant Professor in Department of Computer Science & Engineering, Pranveer Singh Institute of Technology, Kanpur, India. Prior to this, she has worked as faculty in Department of Computer Application at Institute of Engineering and Technology, Lucknow, India. Her current research interests include Opportunistic networks, Natural Language Processing, Optimization Approaches, and Information Retrieval.
Prof. Sanjay Kumar Dhurandher received the M. Tech. and Ph.D. Degrees in Computer Sciences from the Jawaharlal Nehru University, New Delhi, India. He is presently working as Professor and Head in the Division of Information Technology, Netaji Subhas Institute of Technology (NSIT), University of Delhi, India. He is also the Head of the Advanced Centre CAITFS, Division of Information Technology, NSIT,
Prof. Isaac Woungang received the M.A.Sc. and Ph.D. degrees in Mathematics from the University of Aix-Marseille II and University of South, Toulon & Var, France, in 1990 and 1994 respectively. He joined the Department of Computer Science at Ryerson University in 2002 and was promoted to Full Professor in 2014. He served the Department as Associate Chair, Undergraduate Program Director (2013-2014 & 2016-2018), Interim Graduate Program Director (Jan 2011-Sept. 2011) and Coop Program Coordinator (2006-2018). During his sabbatical (Jan. 2009-June 2009 and Jan 2016-Apr. 2016), he was a Visiting Professor at National Ilan University, Taiwan, R.O. C. and Fukuoka Institute of Technology, Japan, respectively. He leads the Distributed Applications and Broadband NEtworks Laboratory (DABNEL) research group. His research interests include radio resource management, computer security, heterogeneous networks, computational intelligence and machine learning applications, performance modelling, analysis and optimization. He served as Editor for several International Journals by IEEE, Wiley, Springer, and Elsevier. He also co-edited 15 books and 1 authored book. He also served as TPC member of several IEEE conferences and symposiums, and as IEEE Toronto, Computer Chapter Chair (2012-2016).
- 2021, 1. Auflage, 330 Seiten, Englisch
- Herausgegeben: Anshul Verma, Pradeepika Verma, Sanjay Kumar Dhurandher, Isaac Woungang
- Verlag: Taylor & Francis
- ISBN-10: 100042975X
- ISBN-13: 9781000429756
- Erscheinungsdatum: 18.08.2021
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- Dateiformat: PDF
- Größe: 26 MB
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