Scalable and Distributed Industrial Internet of Things(IIoT) Architectures and Industry 5.0
Track ID: Spes-10
Description
The number of devices in the Industrial Internet of things (IIoT) is increasing. Along with the increase in devices, managing these devices in the existing architectural model will bring great challenges to the current computing infrastructure. The technology is rapidly changing, and architecting for these situations can be complex. The existing data processing capacity of IIoT is becoming ineffective due to the generation of huge heterogeneous data byI IoT devices. It is important to realize that the success of IIoT depends on the scalability. The existing models and architectures are good for small-scale IIoT, however, the growing needs of the large IoT environment will need a decentralized and distributed model. In addition to the computing capability, the existing centralized models are expensive because of cloud infrastructure and maintenance cost. Moreover, the diversity of devices and their supporting cloud infrastructure makes machine-to-machine (M2M) communications complex as there is no guarantee for the connection and interoperability for all kind of devices. Hence, there is a need of new scalable methods, models, and architectures for efficient processing of distributed and autonomous data.
Topics
- Recent design trends in Industrial Internet of Things and Idnsutry 5.0
- Design of scalable and reliable devices in IIoT
- Heterogeneity in IIoT devices and resources
- Distributed archiecture for IIoT
- Management of devices and resource
- IoT gateway and edge network
- Flexible Architecture of IIoT
- Scalable Big data architectures
- Scalable IoT Applications
- Content delivery network in IIoT
- Parallel information processing in IIoT
- IoT Architectures for scalability
Paper Submission Deadline
Important Dates:
- Deadline for Paper Submissions: July 30th, 2023
- Acceptance Notification: September 8th, 2023
- Deadline for Camera-Ready Paper Submissions: September 29th, 2023
- Deadline for Presentation Submissions: October 2nd, 2023
Papers should be six (6) pages in length and follow the instruction provided for the main Conference. The conference allows up to two additional pages for a maximum length of eight (8) pages with payment of extra page charges once the paper has been accepted.
Please submit your paper for this Special Session using the link to eWorks:
Call For Papers:
If you have any questions, please contact Dr. Ayoub Khan: ayoub.khan@ieee.org
Chairs
Ayoub Khan: University of Bisha
Dr Mohammad Ayoub khan is working as University of Bisha, Saudi Arabia a with interests in Internet of Things, RFID, Wireless Sensors Networks, Ad Hoc Network, Smart Cities, Industrial IoT, and signal processing, NFC, Routing in Network-on-Chip, Real Time and Embedded Systems. He has more than 14 years of experience in his research area. He has published more than hundred research papers and books in the reputed journals and international IEEE conferences. He is contributing to the research community by various volunteer activities. He has served as conference chair in various reputed IEEE/Springer international conferences. He is a senior member of professional bodies of IEEE, ACM, ISTE and EURASIP society
Hasita Kaja: Samsung Electronics America
Dr. Hasita Kaja is currently a Radio Access Network (RAN) Engineer and Subject Matter Expert (SME) at Samsung Electronics America. She holds a Master of Science degree in Electrical Engineering followed by a Doctorate degree in Wireless Communications from the University of Missouri, Kansas City earned in August 2021. Additionally, Dr. Kaja has been honored with several scholarship awards, including the Mahatma Gandhi Scholarship award, the School of Graduate Studies (SGS) research grant, and the Charles W. Nielsen award during her Ph.D. studies. She published papers in various journals including IEEE Transactions on Network and Service Management. She is also a technical reviewer at IET journals. Her research interests are in the field of 4G/5G communication networks, Vehicular Ad-Hoc networks, queueing theory for wireless networks, reliability in wireless communications, Internet of Things, autonomous vehicles.
