Back close

Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 

Project Incharge:Dr. Simi Surendran
Co-Project Incharge:Dr. C. Ushakumari
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 

Network reliability is the ability of a network to provide its services within a specified period of time under the required conditions. Around 2030, 6G networks are expected to provide connected intelligence and unlimited wireless connectivity. 6G systems are intended to support diverse applications such as autonomous driving, healthcare IoT and mission critical operations in millions of devices in a reliable way. The reliability of links is very important since the unavailability of a set of links or nodes even for a very short period of time can cause failures of IoT networks that perform critical applications. Hence connectivity reliability improvement is one of the most challenging requirements in the design of 6G IoT Networks. 

The objective of this project is the stochastic modelling and analysis of connectivity reliability in a 6G IoT network by modelling it as a out-of- : reliability-inventory systems under different replenishment policies.

Related Projects

A Behavioral Study of Ransomware – To Develop a Generic Mitigation System
A Behavioral Study of Ransomware – To Develop a Generic Mitigation System
Paraptosis: a non-apoptotic cell death pathway to target cancer
Paraptosis: a non-apoptotic cell death pathway to target cancer
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
Automated Traffic Sign Recognition System For Indian Roads
Automated Traffic Sign Recognition System For Indian Roads
Numerical Modelling of Flow-Forming process and Experimental Validation
Numerical Modelling of Flow-Forming process and Experimental Validation
Admissions Apply Now