SUSTAIN-6G

This use case demonstrates how 6G-native exposure APIs and event-driven orchestration can transform environmental monitoring and precision agriculture into energy-efficient, on-demand services. Instead of continuously operating high-consumption resources (cameras, drones, GPU edge nodes), the system follows a “sense–process–act” model.

Low-power IoT sensors (gas, air-quality, soil moisture) provide lightweight continuous monitoring. When a predefined anomaly is detected (e.g., elevated CO₂, smoke particles, crop stress), an event is triggered and sent to the orchestrator. The orchestrator dynamically invokes CAMARA-compliant exposure APIs to reserve Quality-on-Demand network resources and activate the most suitable edge compute node. High-resolution cameras, video analytics containers, or drone streams are deployed just-in-time to provide real-time situational awareness.
Once the incident is resolved, network slices and compute workloads are immediately released, minimising unnecessary energy consumption.
The PoC validates improvements in energy efficiency (≥60% reduction vs always-on systems), orchestration reliability (≥99% API success rate), and low-latency activation (<2s). The solution supports air quality incident response, wildfire early warning, and precision agriculture stress detection, contributing to sustainable digital infrastructure and environmental protection.