About the Book
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems.
Features:
The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay
It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles
It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing
Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems
Different use cases covered include smart health care, smart city, internet of drones, etc
This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.
Table of Contents:
1. SDN based IoT with Edge computing. 2. Towards Cloud-Edge-of-Things: State-of-the-Art, Challenges and Future Trends. 3. SDN-Aided Edge Computing Enabled AI for IOT and Smart Cities. 4. An Overview of Software-Defined Internet of Vehicles. 5. IoT Architecture and Research Issues in the Smart City Environment. 6. Performance Evaluation Methods for SDN Controllers: A Comparative Analysis. 7. A Scalable Software Defined Edge Computing Model for Sustainable Smart City Internet of Things (IoT) Application. 8. Deep Learning Models with SDN and IOT for Intelligent Healthcare. 9. Applications of Machine Learning Techniques in SD- IoT Traffic Management
About the Author :
Kshira Sagar Sahoo received his MTech degree in information and communication technology from Indian Institute of Technology Kharagpur, Kharagpur, India, in 2014, and a PhD in computer science and engineering from the National Institute of Technology Rourkela, Rourkela, India, in 2019. He is currently working as Assistant Professor with the Department of CSE, SRM University, Amaravati, AP, India. He is a postdoctoral fellow with the Department of Computing Science, Umea° University, Umea°, Sweden. He has published more than 90 research articles in various top international journals and conferences including IEEE TITS, IEEE TNSM, IEEE System Journal, IEEE IoT Journal, ACM TOMM, FGCS Elsevier, and JSS Elsevier. His research interests include future-generation network infrastructure, such as SDN, edge computing, the IoT, and industrial IoT. He has more than five years’ teaching experience, two years of industry experience, and four years of research experience. He is a member of the IEEE Computer Society and an associate member of the Institute of Engineers (IE), India.
Arun Solanki received his MTech degree in computer engineering from YMCA University, Faridabad, Haryana, India, and a PhD in computer science and engineering from Gautam Buddha University in 2014. He is currently working as an assistant professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. He is also co-convener of the Center of Excellence in Artificial Intelligence. Dr Solanki has worked as timetable coordinator, and as a member of the examinations, admissions, sports council, digital information, and other university committees. He has supervised more than 70 MTech dissertations and is currently guiding five students through their PhD in artificial intelligence. His research interests span expert systems, machine learning, and search engines. He has published more than 70 research articles in SCI/Scopus-indexed international journals/ conferences, and participated in person in many national and international conferences, chairing many sessions. He has been a technical and advisory committee member of many international conferences and has organized several FDPs, conferences, workshops, and seminars. He is an associate editor for the IGI Scopus-indexed International Journal of Web-Based Learning and Teaching Technologies (IJWLTT). He has been a guest editor for special issues of Recent Patents on Computer Science (Bentham Science Publishers). Arun Solanki has published more than ten books with reputed publishers including IGI Global, CRC, Elsevier, and AAP. He acts as a reviewer for Springer, Wiley, MDPI, IGI Global, Elsevier, and other reputed publishers of SCI/Scopus journals.
Dr. Sambit Kumar Mishra is currently working as an Assistant Professor with the Department of Computer Science and Engineering, SRM University, India. He received the Ph.D. degree in Computer Science and Engineering from the National Institute of Technology, Rourkela, India, and the M.Tech. and M.Sc. degrees in Computer Science from Utkal University, India. His research interests include cloud computing, edge/fog computing, the Internet of Things, and wireless sensor networks. He has published more than 50 research articles in reputed journals and conferences of international repute. He is a member of the IEEE Computer Society, IETE, and InSc.
Prof. Bibhudatta Sahoo obtained his M. Tech. and Ph.D. degree in Computer Science & Engineering from NIT, Rourkela. He is presently Associate Professor in the Department of Computer Science & Engineering, NIT Rourkela, INDIA and he has 25 years of Teaching Experience in undergraduate and graduate level in the field of computer Science & Engineering. He has authored or co-authored over 200 publications in refereed international journals and conferences including IEEE transactions, Wiley, Springer, and Elsevier. His technical interests include Data Structures & Algorithm Design, Parallel & Distributed Systems, Networks, Computational Machines, Algorithms for VLSI Design, Performance evaluation methods and modelling techniques Distributed computing system, Networking algorithms, and Web engineering. He is a member of IEEE & ACM.
Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Assistant Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 90+ Professional certificates from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 130+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 60+ Papers in International Conferences indexed with Springer, IEEE Xplore and ACM Digital Library, 40+ Book Chapters in various SCOPUS, WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 5700+, H-Index: 39 and I-Index: 140. Member of more than 50+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 35+ Books of Computer Science. Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 7 Indian Design cum Utility Patents, 3 Indian Copyrights, 2 Canadian Copyrights and 3 German Patents to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 36+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)". He has reviewed more than 1700+ Articles for various Web of Science Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, IoT, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Network Simulation and Wireless Communications.
