Nowadays, many of the wireless devices are connected to machines (IoT) rather than people, with the rise of Smart Homes, Smart Building, Smart Vehicles, Smart Cities etc. Also, future users will demand and expect greater global coverage, higher capacities and always-on connectivity for new and future internet services and applications. Hence, future B5G networks encounter fundamental challenges for machine-to-machine communications, including robotic and autonomous drone delivery and transport systems, and computing infrastructures. Therefore Internet-of-Everything (IoE), integration of everything in a single hub is the related development. Other challenges predicted for B5G is to handle Ultra-dense cell networks, Reconfigurable Hardware, enhanced Optical-Wireless interface, Networked VLC, Intelligent Networking and technologies to enable Full Immersive Experience for users.
It is anticipated that P2P Computing and Blockchain with AI will be the very significant technologies for an effective development of the future B5G networks. Since, P2P and Blockchain technologies incorporates a distributed network concepts to offer secure services without a third party (Cluster Head), due to this distributed nature, P2P and Blockchain will be a suitable technology for dynamic spectrum sharing in B5G. Also along with these two technologies, AI approaches like machine learning and deep learning can be combined and incorporated into B5G networks to process data and manage resources in an intelligent and efficient way.
Topics of Interest
Keeping in view of the technological developments related to B5G and IoE, this special issue provides the platform for research, academia and industrial technocrats to explore their ideas and solutions related to B5G. The topics of interest for the special issue include, but are not limited to:
- New opportunities, challenges, case studies, and applications for P2P and Blockchain enabled B5G networks and IoE
- Algorithms and Techniques for P2P and Blockchain enabled B5G networks and IoE
- P2P and Blockchain oriented network architecture for B5G networks and IoE
- Optimization and Efficient Resource allocation for P2P and Blockchain enabled B5G networks and IoE
- Network protocol for P2P and Blockchain enabled B5G networks and IoE
- AI empowered resource management for B5G networks and IoE
- Intelligent communication technologies for B5G networks and IoE
- Reliability, mobility and connectivity in B5G networks
- Energy efficiency for P2P and Blockchain enabled B5G networks
- Machine/deep learning based optimization methods for B5G networks and IoE
- Security and privacy issues in P2P and Blockchain enabled B5G networks and IoE
- P2P edge computing for B5G networks and IoE
- P2P and Blockchain enabled secure infrastructure management for B5G networks and IoE
- Impacts of innovative applications supported by B5G networks and IoE
Authors are encouraged to submit high-quality, unpublished original work that has neither appeared in, nor is under consideration by, other journals.Springer offers authors, editors and reviewers of Peer-to-Peer Networking and Applications a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscripts. This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.
Manuscripts should be submitted to: http://PPNA.edmgr.com
Choose “ P2P Computing for Beyond 5G Network (B5G) and Internet-of-Everything (IoE)”.
Manuscript Submission Due: March 30, 2020
First round review notification: May 15, 2020
Revision: June 15, 2020
Final Acceptance: July 15, 2020
Final Paper Due: July 30, 2020
Prof. Prakasam P, Vellore Institute of Technology, Vellore, India (Lead Guest Editor)
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Prof. Prakasam. P is a Senior Member in IEEE and also he is member of IEEE Communication Society, Solid State Circuits Society and Product Safety Engineering Society. He is a Professor in School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. He obtained his Ph.D in Signal Processing in Wireless Communication (Software Defined Radio) from Anna University Chennai in the year 2010. He is an Associate Editor of IEEE Access and also an editor-in-chief of Journal of Signal Processing and Wireless Networks. He is also a Guest Editor – Special Issue on Machine Learning in Wireless Networks by International Journal of Wireless Communications and Mobile Computing. He has authored over 110 research publications various journals and conferences out of which 30 publications have been indexed by SCI/SCIE/EI. He has more than 5 monographs/books, 3 book chapters, 9 Indian patents, and 2 Best Paper Awards. Six students have completed Ph.D. under his guidance. He is a reviewer of more than 20 journals in various publishers which includes IEEE, Elsevier and Springer journals. He has received various awards which includes Best Faculty in Engineering. His name has been selected to include for Albert Nelson Marquis Lifetime Achievement Award, 2018 for outstanding achievements. He has served more than 20 conferences as technical advisory/reviewer committee. His special areas of interest are Signal Processing, Wireless Networks, Machine/Deep Learning, 5G Networks and applications of signal processing in Mobile Communication Systems. He is also senior member of IACSIT and life member of ISTE.
Prof. Shohel Sayeed, Multimedia University, Malaysia
Prof. Shohel Sayeed has been a member of Multimedia University since 2001 and now he serves as an Associate Professor of the Faculty of Information Science and Technology. His core research interest is in the area of Biometrics, information security, Wireless Sensor Networks, Signal processing, Wireless Communications, pattern recognition and classification. He has been awarded Marquis Who’s who in the world in 2010 for his outstanding contribution. Also he has received the International President’s Award for Iconic Achievement, 2010, by International Biographical Centre, Cambridge, England. Till date, he has published over 80 research papers in international peer-reviewed journals and international conference proceedings as a result of his research work. He is has more than 2 books, 1 book chapter and 4 copyright/patent. He has undertaken more than 7 scientific research projects as the leader, including 5 national-level projects such as Fundamental Research Grant Scheme (FRGS). He has been appointed technical paper reviewer for Journal of Pattern Recognition Letters, IEEE Transaction on Neural Networks, IEEE Transactions on Automation Science and Engineering, Journal of Computer Methods and Programs in Biomedicine and International Journal of Computer Theory and Engineering. He has also been invited to review technical papers for several international conferences. He is also an editorial board member for an edited book on Security and Authentication: Perspectives, Management and Challenges (2018). In recognition of his professional contribution, he has obtained recognition as a member of IEEE Computer Society, IEEE Communication Society and IACSIT.
Prof. Ajayan J, SNS College of Technology, Coimbatore, India
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Prof. Ajayan J received his Ph.D. Degree in Electronics and Communication Engineering from Karunya University, Coimbatore, INDIA, in 2017. He is a senior assistant professor in the department of Electronics and Communication Engineering at SNS College of Technology, Coimbatore, India. He has published more than 70 research articles in various journals (Elsevier, Taylor and Francis, Springer, IOP Science) and international conferences. He has more than 2 monographs/books, 1 book chapters, and 1 Indian patents. He is a reviewer of more than 30 journals in various publishers which includes IEEE, IET, Elsevier and Springer journals. He is also Guest Editor of “Special Issue on Energy Harvesting Devices, Circuits and Systems for Internet of Things” in Microelectronics Journal, Elsevier. He has served more than 10 conferences as technical advisory/reviewer committee. His special areas of interest are micro/nano scale devices for wireless applications, Machine/Deep Learning, Embedded systems and VLSI Design.