AI-Driven Decentralized IoT for Secure and Scalable Healthcare
Document Type
Conference Proceeding
Publication Date
2025
Department
College of Business
Abstract
AI Innovations in the IoT for Real-Time Patient Monitoring On one hand, the current traditional centralized healthcare architecture poses numerous issues, including data privacy, delay, and security. Here, we present an AI-enabled decentralized IoT architecture to address such challenges during a pandemic and critical care settings. This work presents our architecture to enhance the effectiveness of the current available federated learning, blockchain, and edge computing approach, maximizing data privacy, minimizing latency, and improving other general system metrics. Experimental results demonstrate transaction latency, energy consumption, and data throughput orders of magnitude lower than competitive cloud solutions.
Publication Title
Giridhar
Recommended Citation
Sammangi, H.,
Sai Ambati, L.,
Liu, J.,
&
Bojja, G. R.
(2025).
AI-Driven Decentralized IoT for Secure and Scalable Healthcare.
Giridhar.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/2134