Book Description | This book focuses on the key technologies, challenges, and research directions of the Industrial Internet of Things (IIoT). It provides a basis for discussing open principles, methods, and research problems, and provides a systematic overview of the state-of-the-art research efforts, directions, and potential challenges associated with IIoT. Industrial Internet of Things: Technologies and Research Directions covers how industry automation is projected to be the largest and fastest-growing segment of the market. It explores the collaborative development of high-performance telecommunications, military, industrial, and general-purpose embedded computing applications, and offers a systematic overview of the state-of-the-art research efforts and new potential directions.Researchers, academicians, and professionals working in this inter-disciplinary area will be interested in this book. |
About the Author | Anand Sharma, received his Ph.D. degree in Engineering from MUST, Lakshmangarh, MTech from ABV-IIITM, Gwalior and BE from RGPV, Bhopal. He has been working with Mody University of Science and Technology, Lakshmangarh for last 10 years. He has more than 14 years of experience of teaching and research. He has been invited to several reputed institutions ISI-Kolkata, IIT-Mumbai, IIT-Jodhpur, IIT-Delhi, RTU-Kota etc. He has pioneered research in areas of Information Security, IoT, WBAN and Machine Learning. He is a member of IEEE, IET, ACM, IE(India), Life Member of CSI and ISTE. He is serving as secretary of CSI-Lakshmangarh Chapter and Student Branch Coordinator of CSI-MUST Student branch. He has more than 6 authored/edited books with national and international publishers. He has contributed more than 10 book chapters in books of reputed publishers. He has organized more than 15 conferences / seminars and workshops. He has chaired more than 8 special sessions and delivered 6 Keynote addresses in international conferences. He is serving on advisory capacity in several international journals as Editorial Member and in International Conferences as Technical Programme committee / Organizing committee.Sunil Kumar Jangir received his B.E. (Information Technology) with honors from the University of Rajasthan in July 2009. He received the M.Tech. degree with highest distinction in Software Engineering from Suresh Gyan Vihar University, Jaipur and the Ph.D. degree in Computer Science & Engineering from Jecrc University, Jaipur. He is having 12+ years of teaching experience in the field of Computer science & Engineering. He has published more than 35 research papers in national and international conferences and journals. He has contributed more than 05 book chapters in books of reputed publishers. He is a member of IET, ACM and IEEE Dr. Jangir serves as a convener of 1st and 2nd ICITDA, 1st- NCITSA,Convener of JECRC Hackathon 1.0 and nominated 4 time as Institute SPOC for Smart India Hackathon. Dr. Jangir chaired no. of sessions in various international Conferences. He is currently an Associate Professor with the Department of Computer Science & Engineering, University Institute of Engineering, Chandigarh University in Mohali, India. Dr. Jangir Currently serving IEEE Student Branch Counselor. Dr. Jangir Currently served IEEE Student Branch Faculty coordinator of MUST. He was Asscoiated with CSI-India in past. The main area of his research interest includes Computer Networks, Machine learning, Deep learning as well as routing protocols for ad- hoc networks. Currently, he is working in the area of IoT.Manish Kumar received the B.Tech. degree in Applied Electronics and Instrumentation Engineering from Biju Patnaik University, Rourkela, India, in 2010 and the M.Tech. Degree in Biomedical Engineering from the Manipal Univesity, Udupi, India, in 2013. He received Ph.D. degree in Electrical and Electronics Engineering, Birla Institute of Technology, Mesra, Ranchi, India, 2019. Worked as a research associate in the Indian Institute of Technology, Patna, India. He is currently an Assistant Professor with the Department of Biomedical Engineering, Mody University of Science and Technology,Sikar, Rajasthan, India. His areas of interest are Medical Image Processing, Signal Processing, Machine Learning and Nature Inspired Techniques. Dilip Kumar Choubey, is currently working as an Assistant Professor in the Department of Computer Science & Engineering, Indian Institute of Information Technology Bhagalpur, India since 9th November 2020. He worked as an Assistant Professor (Senior) in the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India during 13th May 2019 to 06th November 2020, Worked as an Assistant Professor (On Contract) in NIT Patna, India during 30th March 2017 to 09 May 2019. He has worked as an Asst. Prof. in Lakshmi Narain College of Technology (L.N.C. |