Self-Configuring Internet of Things Architecture
Project Overview
This project develops FedBio-IoT, a federated self-configuring Internet of Things architecture that employs nature-inspired swarm intelligence algorithms to enable runtime configuration and context-aware adaptation across heterogeneous IoT deployments. Anomaly detection using IoT sensor data remains comparatively unexplored and typically requires both significant technical expertise and deep domain knowledge, creating barriers to widespread adoption of intelligent monitoring systems. The research addresses these challenges through autonomous system configuration, allowing IoT architectures to self-organise, dynamically rebalance workloads, redeploy services, and maintain reliable operations under changing environmental and network conditions without manual intervention. The federated architecture distributes decision-making across participating nodes, enabling localised adaptation while maintaining system-wide coordination through biologically inspired communication and optimisation mechanisms. By decentralising control, the system can respond rapidly to local conditions without requiring centralised oversight, making it well suited to large-scale and geographically dispersed IoT deployments.
Key research objectives span both theoretical foundations and practical evaluation. These include a comprehensive literature review of self-configuring architectures and swarm intelligence approaches, the development of novel nature-inspired algorithms for IoT resource orchestration, and experimental evaluation of the proposed framework across diverse IoT deployment scenarios.
The project is conducted in partnership with Exalens and supported by leading UK research bodies. Exalens focuses on cyber-physical security solutions for digital manufacturing environments, while the PETRAS National Centre of Excellence for IoT Systems Cybersecurity and GCHQ provide additional support. Running from 2021 to 2025, the research contributes to advancing autonomous IoT infrastructure management and security-aware resource orchestration in distributed sensing environments.
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