Computer Networks, Big Data and IoT

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 postgraduate 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 Dean (R&D) in CARE College of Engineering, Trichy, 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 a 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 interests include image processing and coding, image fusion, soft computing and swarm intelligence.   Xavier Fernando is Professor at theDept. of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has (co-)authored over 200 research articles, 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 a member in the IEEE Communications Society (COMSOC) Education Board Working Group on Wireless Communications. He was Chair IEEE Canada Humanitarian Initiatives Committee 2017-18. 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. Haoxiang Wang is currently the director and lead executive faculty member of GoPerception Laboratory, NY, USA. His research interests include multimedia information processing, pattern recognition and machine learning, remote sensing image processing and data-driven business intelligence. He has co-authored over 60 journal and conference papers in these fields on journals such as Springer MTAP, Cluster Computing, SIVP; IEEE TII, Communications Magazine; Elsevier Computers & Electrical Engineering, Computers, Environment and Urban Systems, Optik, Sustainable Computing: Informatics and Systems, Journal of Computational Science, Pattern Recognition Letters, Information Sciences, Computers in Industry, Future Generation Computer Systems; Taylor & Francis International Journal of Computers and Applications and conference such as IEEE SMC, ICPR, ICTAI, ICICI, CCIS, ICACI.

Chapter 1. Rakshak – Prototype Application to Depict Crime Hotspot and Safest Path between locations.- Chapter 2. Block Chain Technology in Application Development and Associated Challenges.- Chapter 3. Hybrid Statistical and Deterministic Based Pedestrian Tracking Algorithm for Location-Based IoT Applications.- Chapter 4. MAC based Secure Data Transmission in Vehicular Adhoc Networks.- Chapter 5. A Study on Challenges in Data Security During Data Transformation.- Chapter 6. An Edge-based Disjoint Path Selection Scheme for FANETs.- Chapter 7. Sign Language Interpreter.- Chapter 8. Architectural Insight of Neural Information Extraction, Retrieval and Processing for Multi-Modal Neural Search.- Chapter 9. A Comparative Study Analysis on Air Monitoring and Purification Systems.- Chapter 10. Malicious Node Detection and Prevention for Secured Communication in WSN.- Chapter 11. Performance Analysis and Assessment of Various Energy Efficient Clustering based Protocols in WSN.- Chapter 12. Academic Data Analysis and Projection using Artificial Intelligence.- Chapter 13. Analysis of Factor Verification Affecting Recruitment Process through Social Dynamics.- Chapter 14. Routing Protocols in an Opportunistic Network: A Survey.- Chapter 15. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters.