Self-Configuring Internet of Things Architecture

Project Overview

Develops FedBio-IoT, a federated self-configuring IoT architecture using nature-inspired algorithms for runtime configuration and context-aware adaptation.

This project develops FedBio-IoT, a federated self-configuring IoT architecture that uses nature-inspired swarm intelligence algorithms to enable runtime configuration and context-aware adaptation. The initiative addresses challenges in deploying anomaly detection systems across heterogeneous IoT environments.

Anomaly detection using IoT sensor data is comparatively unexplored and requires both technical and domain expertise. Our approach reduces this burden through autonomous system configuration, allowing IoT architectures to self-organise, rebalance workloads, redeploy services, and maintain operations under dynamic conditions.

Key research objectives include:

• Literature review of self-configuring architectures and swarm intelligence approaches
• Development of nature-inspired algorithms for IoT resource orchestration
• Experimental evaluation across diverse IoT deployment scenarios

Team

Abdulaziz Aljohani

Omer Rana

Charith Perera

Partners

Exalens

PETRAS 2

Government Communications Headquarters (GCHQ)