Springer Next Generation Information Processing System: Proceedings of ICCET 2020, Volume 2: 1162 (Advances in Intelligent Systems and Computing, 1162)

UAV Communication in FANETs using Metaheuristic Techniques.- On-demand joint predictive Flooding in Vehicular Adhoc Networks.- Entity-Centric Combined Trust (ECT) algorithm to detect packet dropping attack in vehicular ad-hoc networks (VANETs).- Optimized Low Energy Adaptive Clustering Hierarchy in Wireless Sensor Network.- QoS in Vertical Handoff for Wireless network using Hungarian model and Data Parceling technique. From the Back Cover This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP], a flagship event in the area of engineering and emerging next-generation technologies jointly organized by the Dr. Babasaheb Ambedkar Technological University and MGM’s College of Engineering in Nanded, India, on 9-11 January 2020. Focusing on next-generation information processing systems, this second volume of the proceedings includes papers on cloud computing and information systems, artificial intelligence and the Internet of Things, hardware design and communication, and front-end design. About the Author Dr. Mrs. Prachi Deshpande earned her Ph.D. degree in Computer Engineering from Indian Institute of Technology, Roorkee, India in 2016. She is working as an Associate Professor in the University Department of Computer Engineering at Dr. Babasaheb Ambedkar Technological University, Lonere (A State Technological University). She is a recipient of MHRD fellowship during her doctoral degree. She has authored and coauthored over 30 research publications in peer-reviewed reputed journals and conference proceedings, special issue journals on the topics like IoT, big data, and next-generation technologies. She is having an experience of 14+ years in the academics at various positions and had authored 02 books in the area of cloud computing and big data. She has worked as the program committee member of various international conferences and reviewer for various international journals. Her research interests include cloud computing, big data analytics, IoT, data science and cognitive science.   Dr. Abraham works as the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. As an Investigator/Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia, and China. Dr. Abraham works in a multi-disciplinary environment involving machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining and applies them to various real-world problems. In these areas, he has authored/coauthored more than 1,300+ research publications out of which there are 100+ books covering various aspects of Computer Science. About 1000+ publications are indexed by Scopus, and over 800 are indexed by Thomson ISI Web of Science. Some of the articles are available in the ScienceDirect Top 25 hottest articles. He has 700+ co-authors originating from 40+ countries. Dr. Abraham has more than 32,000+ academic citations (h-index of 83+ as per Google Scholar. He has given more than 100 plenary lectures and conference tutorials (in 20+ countries). For his research, he has won seven best paper awards at prestigious international conferences held in Belgium, Canada, Bahrain, Czech Republic, China, and India. Dr. Abraham received Ph.D. degree in Computer Science from Monash University, Melbourne, Australia (2001), and a Master of Science Degree from Nanyang Technological University, Singapore (1998).   Dr. Brijesh Iyer received his Ph.D. degree in Electronics and Telecommunication Engineering from Indian Institute of Technology, Roorkee,India in 2015. He is an Associate Professor in the University Department of E&TC Engineering at Dr. Babasaheb Ambedkar Tec