Hermes: High-resilience military edge AI and heterogeneous networking for command and control

The HERMES project aims to develop a high-resilience, decentralized wireless network for temporary, mobile deployments in challenging environments such as military operations, disaster relief, and search and rescue
missions. By extending the DISCO project, HERMES will adapt and generalize machine learning (ML) algorithms to heterogeneous, mobile networks lacking wired backhaul links. The project focuses on determining the operating
requirements, latency, throughput, and power efficiency of military edge networks enhanced with edge AI, delivering practical solutions that run on router operating systems and containers for field deployment.

HERMES addresses key challenges of military edge networks, including intermittent connections, mobility, and power constraints. Through AI-driven network configuration, it aims to reduce interference, optimize energy usage
for battery-powered devices, and balance network performance with power efficiency. The project will also extend experimental evaluations to heterogeneous military radio networks, facilitating standardization between military
and civilian radio technologies.

This research introduces novel approaches to improve network resilience and scalability in the most demanding environments. HERMES will enhance future Wi-Fi and radio standards while supporting military applications.

Funding

Funded by the Research Council of Norway through the IKTForskning programme.