Machine Learning Group

5G-enabled Reliable and Decentralized Internet of Things (IoT) Framework with Blockchain

Today, 5G is enabling complex mobile devices, such as intelligent sensors in the national power grid and small unoccupied aerial systems (sUASs), to capture scientific data rapidly. However, these edge devices lack the ability to link effectively to each other, to centralized compute and storage resources, or to transfer the collected data efficiently. Moreover, the rising frequency of cyber-attack events poses risks for data corruption that may have serious implications for Department of Energy facilities, which could then result in inaccurate scientific discoveries.

Due to its decentralized nature, blockchain can provide robust resilience against malicious attacks and mitigate these disastrous conditions. As such, this project is focused on an end-to-end, 5G-enabled, reliable, and decentralized Internet of Things (IoT) framework with specific goals, including:

1. Improving data collection and communication among edge computing devices via optimized runtime systems in parallel.
2. Seamlessly interconnecting high-performance computing, data centers, and edge computing devices via blockchain to carry out scalable real-time data analytics.
3. Developing a secure and resilient framework using blockchain.

Federated Learning for Smart Grid Use Case