In a world where identity thefts and fraudulence cases are on the rise, our BTech- CSE students have come up with a groundbreaking idea that has not only made us all proud but has also enabled a secure platform for such transactions. Meet Pagadala Hemanth Krishna Vardhan, Uday Venkat and Pramodh Janna, SRM AP champions who have made a mark at the technical front through their innovative victory at the national-level SUS Hackathon organised by Vignan’s Institute of Information Technology, (VIIT) Visakhapatnam.

The SUS Hackathon by VIIT, Vishakapatnam, featured over 700 participants and more than 250 teams from across India. SRM AP’s project on a Decentralised Identity Management (DID) system outshone the other projects for its innovative solution, which leverages blockchain technology to grant users full control over their digital identities.

The DID system allows individuals to securely manage and share their credentials without the need for centralised authorities. This approach prioritises privacy, security, and trust—elements that are especially critical in today’s digital-first world. Speaking of their project the students stated,” We were motivated by the increasing need for secure and user-controlled digital identity systems. Our goal was to create a platform that puts identity back into the hands of individuals, reducing the risk of identity theft, surveillance, and data breaches. This drove us to innovate and push beyond conventional solutions.”

The event also offered a platform for the students to showcase their startup ideas, wherein Pagadala Hemanth Krishna Vardhan presented his idea on Virtual Hyper Accuracy of Social Services and received wide attention from mentors and jury members. This start-up idea focuses on real-time women’s safety using voice commands, live tracking, saviour networks, and automated alert systems. The model was recognised for its practical impact and was encouraged for further development and incubation.

Platforms such as these allow our students to showcase their technical and leadership abilities, fostering a culture of innovation, collaboration, and real-world problem-solving.

Dr Asif Thanedar, Assitant Professor at the Department of Computer Science and Engineering in research titled “An Efficient Resource Orchestration Algorithm for Enhancing Throughput in Fog Computing-enabled Vehicular Networks,” discusses issues faced by fog nodes (FNs) when serving connected vehicles during busy times. The research introduces an Efficient Resource Orchestration (ERO) algorithm designed to improve network performance by optimising resource use within the limits of FNs. The study aims to make a valuable contribution to the fields of vehicular fog computing and resource management.

Abstract :

The intelligent vehicles are connected to the roadside infrastructure, such as high power nodes (HPNs) and roadside units (RSUs), also called fog nodes (FNs), for obtaining on-demand services. These FNs possess finite resources and can provide services to limited vehicles. However, when vehicles reach the network spike in demand, the FNs become impuissant in furnishing services in the existing solutions. As a result, there is a significant reduction in the network throughput. Therefore, we propose an efficient resource orchestration (ERO) algorithm to maximize the throughput by reducing the allocated resource blocks (RBs) of FNs.

Explanation in layperson’s terms:

The throughput is maximized by migrating allotted RBs of vehicles in non-restricted coverage regions such that the allotted RBs of these vehicles are minimized among pairs of FNs.
We formulated the RBs migration problem in FCVNs to an integer linear programming (ILP) by scrutinizing the variables influencing the network throughput and FNs resource constraints.
We propose an ERO algorithm, a polynomial time algorithm, which constructs the minimum priority queue for optimal RBs migration between pairs of FNs to augment the network’s throughput. The ERO algorithm synchronizes the RBs allocation for offloading upstream services such that throughput is maximized by partitioning the coverage of FNs into restricted and non-restricted coverage regions.

Practical implementation:

For practical implementation we consider the FNs are equipped with large batteries and deployed across the highway segments of remote areas (i.e., forests or hill terrain) with no consistent power supply. In this context, we present an efficient resource orchestration (ERO) algorithm for harmonizing RB allocation and offloading upstream services among FNs to maximize the network throughput during battery depletion.

Collaborations:

Dr Sanjaya Kumar Panda, Assistant Professor, Dept. of CSE, National Institute of Technology Warangal.

Future Research Plans:

Resource Provisioning in Fog environment.
Energy Efficiency in vehicular fog computing (VFC).
Multi-objective optimization in fog computing.