Optimizing vehicular power in high-congested VANETs environment

Tarandeep Kaur Bhatia, pursuing her Ph.D. degree from Deakin University, Australia, under Higher Degree by Research Scholarship. Currently, she is working as an Assistant Professor – Research in Chitkara University Research & Innovation Network (CURIN) department, Chitkara University, Punjab, India. She is a Gold Medalist in her M.Tech, Computer Science & Engineering batch 2015-2017. She published many papers in reputed journals, presented papers in many National/International conferences, and wrote many book chapters. Ms. Tarandeep filed 13 Patents. She triumphantly completed and conducted many Certified Faculty Development Programmes (FDP). She met many certified training pieces from the Queensland University of Technology, Australia, University of Leeds (England), and Murdoch University, Australia. Ms. Tarandeep Kaur is a “Member of reviewer committee” for the IEEE Communications Standards Magazine, IEEE Access, IET Communications, Journal of Supercomputing, and many more reputed journals. She is also serving as an “Editorial and Review Board Member” for LC International Journal of STEM (LC-JSTEM) and Panel Member of the Technical Program Committee (TPC) of the COMS2-2021 conference. Her areas of interest are Vehicular Ad-hoc Networks (VANETs), Data Congestion, Networking, Software Engineering, Artificial Intelligence. She recently worked with various simulators and tools such as NS-2, MATLAB, Omnet++, SUMO, VEINS for her research work. Sanjeevikumar Padmanaban (Member’12–Senior Member’15, IEEE) received a Ph.D. degree in electrical engineering from the University of Bologna, Bologna, Italy 2012. He was an Associate Professor at VIT University from 2012 to 2013. In 2013, he joined the National Institute of Technology, India, as a Faculty Member. In 2014, he was invited as a Visiting Researcher at the Department of Electrical Engineering, Qatar University, Doha, Qatar, funded by the Qatar National Research Foundation (Government of Qatar). He continued his research activities with the Dublin Institute of Technology, Dublin, Ireland, in 2014. Further, he served as an Associate Professor with the Department of Electrical and Electronics Engineering, University of Johannesburg, Johannesburg, South Africa, from 2016 to 2018. From March 2018 to February 2021, he has been a Faculty Member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. Since March 2021, he has been with the CTIF Global Capsule (CGC) Laboratory, Department of Business Development and Technology, Aarhus University, Herning, Denmark. S. Padmanaban has authored over 300 scientific papers and was the recipient of the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON’13, IET-CEAT’16, IEEE-EECSI’19, IEEE-CENCON’19 and five best paper awards from ETAEERE’16 sponsored Lecture Notes in Electrical Engineering, Springer book. He is a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He is an Editor/Associate Editor/Editorial Board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE Transaction on Industry Applications, IEEE ACCESS, IET Power Electronics, IET Electronics Letters, and Wiley-International Transactions on Electrical Energy Systems, Subject Editorial Board Member—Energy Sources—Energies Journal, MDPI, and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACETS Journal (Canada)

Preface; Introduction of the vehicles in the high-congested VANETs environment; Description of Power Energy in Vehicles; Artificial Intelligent and Machine Learning Approaches; AI optimizing algorithms; Optimizing the power energy of vehicles using AI; Parameters used for optimizing the vehicular power energy; Effective storage of power energy in vehicles for the future; Applications of VANETs in the power energy; Real-time scenarios to apply in the future for Vehicular power.;

Author Index; Keyword Index.