Springer Computer Networks, Big Data and IoT: Proceedings of ICCBI 2020: 66 (Lecture Notes on Data Engineering and Communications Technologies, 66)

This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas. From the Back Cover This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas. About the Author Pasumpon Pandian Arasu received his Ph.D. degree in the Faculty of Information and Communication Engineering under Anna University, Chennai, TN, India, in 2013. He received his graduation and postgraduation degree in Computer Science and Engineering from PSG College of Technology, Coimbatore, TN, India, in the year 1993 and 2006, respectively. He is currently working as Professor in the Computer Science and Engineering department of KGiSL Institute of Technology, Coimbatore, TN, India. He has twenty-six years of experience in teaching, research and IT industry. He has published more than 20 research articles in refereed journals. He acted as Conference Chair in IEEE and Springer conferences and Guest Editor in Computers and Electrical Engineering (Elsevier), Soft Computing (Springer) and International Journal of Intelligent Enterprise (Inderscience) Journals. His research interest includes image processing and coding, image fusion, soft computing and swarm intelligence. Xavier Fernando is Professor at the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has (co-)authored over 200 research articles and two books (one translated to Mandarin) and holds few patents and non-disclosure agreements. He was IEEE Communications Society Distinguished Lecturer and delivered close over 50 invited talks and keynote presentations all over the world. He was Member in the IEEE Communications Society (COMSOC) Education Board Working Group on Wireless Communications. He was  Chair IEEE Canada Humanitarian Initiatives Committee 2017–2018. He was also Chair of the IEEE Toronto Section and IEEE Canada Central Area. He is a program evaluator for ABET (USA). He was a visiting scholar at the Institute of Advanced Telecommunications (IAT), UK, in 2008, and MAPNET Fellow visiting Aston University, UK, in 2014. Ryerson University nominated him for the Top 25 Canadian Immigrants award in 2012 in which was a finalist. His research interests are in signal processing for optical/wireless communication systems. He mainly focuses on physical and MAC layer issues. He has special interest in underground communications systems, of cognitive radio systems, visible light communications and wireless positioning systems. Dr. Syed Mohammed Shamsul Islam completed his PhD with Distinction in Computer Engineering from the University of Western Australia (UWA) in 2011. He received his MSc in Computer Engineering from King Fahd University of Petroleum and Minerals in 2005 and BSc in Electrical and Electronic Engineering from Islamic Institute of Technology in 2000. Before joining ECU as a Lecturer in Computer Science, he worked in different teaching and research positions at UWA and Curtin University (2011-2016). He was promoted to Senior Lect