Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

Ram Shringar Rao received his Ph.D. (Computer Science and Technology) from School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India in 2011. He did M. Tech (Information Technology) and B. Tech (Computer Science Engineering) in 2005 and in 2000 respectively. He has worked as an Associate Professor in the Department of Computer Science of Indira Gandhi National Tribal University (A Central University), Amarkantak, MP, India. He is currently working as an Assistant Professor in the Department of Computer Science and Engineering of Ambedkar Institute of Advanced Communication Technologies and Research, GGSIP University, Delhi, India. He has more than 18 years of teaching, administrative and research experience. Dr. Rao has worked administrative works in the capacities of Member of Academic Council (IGNTU,India), Chief Warden, Head of Office, Students Welfare Officer (DSW), Coordinator University Cultural Cell, Coordinator University Computer Center, HoD of Computer Sc. and Engg., Proctor, Warden, etc. He has organized many Conferences, Faculty Development Programmes, Seminars and Workshops at National and International levels. He has delivered many Expert and Invited Lectures at National and International levels. Dr. Rao has published around 100 research papers with good impact factors in reputed International Journals and Conferences including IEEE, Springer, Wiley & Sons, Taylor & Fransise, Inderscience, Hindawi, IERI Letters, etc. His current research interest includes Mobile Ad-hoc Networks, Vehicular Ad-hoc Networks and Cloud Computing.

Omprakash Kaiwartya is currently working as a Senior Lecturer at the School of Science and Technology, Nottingham Trent University (NTU), UK. Previously, He was a Research Associate at the Northumbria University, Newcastle, UK, in 2017 and a Postdoctoral Research Fellow at the Universiti Teknologi Malaysia (UTM) in 2016. He received his Ph.D. degree in Computer Science from Jawaharlal Nehru University, New Delhi, India, in 2015. His research interest focuses on IoT centric future technologies for diverse domain areas focusing on Transport, Healthcare, and Industrial Production. His recent scientific contributions are in Internet of connected Vehicles (IoV), Electronic Vehicles Charging Management (EV), Internet of Healthcare Things (IoHT), and Smart use case implementations of Sensor Networks. He is Associate Editor of reputed SCI Journals including IET Intelligent Transport Systems, EURASIP Journal on Wireless Communication and Networking, Ad-Hoc & Sensor Wireless Networks, IEEE Access, and Transactions on Internet and Information Systems. He is also Guest Editor of many recent special issues in reputed journals including IEEE Internet of Things Journal, IEEE Access, MDPI Sensors, and MDPI Electronics.

Sanjoy Das did his B. E. and M.Tech, PhD in Computer Science. Presently, he is working as Associate Professor, Department of Computer Science, Indira Gandhi National Tribal University (A Central Government University), Amarkantak, M.P. (Manipur Campus)- India. Before joining IGNTU he has worked as 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. Also, 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 and Springer.