Real-World Use cases

🌡️ Environmental Temperature Monitoring

Cities and environmental agencies deploy networks of low-cost IoT temperature sensors to track micro-climate changes, heatwaves, and local environmental conditions. However, these sensors can produce unstable or inaccurate temperature readings due to exposure, placement, or hardware limitations.
In this use case:

• IoT devices collaborate within communities of interest (CoI) to identify abnormal temperature patterns across nearby sensors.
• Micro-models are shared and locally adapted to environmental context (location, seasonal patterns).
• Results: more reliable temperature datasets, early detection of anomalies, and more accurate insights for urban planning and environmental management.

🏠 Indoor Positioning

GPS does not work well inside buildings such as shopping malls, offices, or homes. Traditional indoor positioning systems require constant updates and are often expensive to maintain. With CoIoTIA:

• IoT devices (e.g., smartphones, wearables) use micro-models to learn Wi-Fi and signal fingerprints and provide estimations in real time.
• Micro-models are updated and shared across communities, ensuring low-cost and efficient adaptation to new access points or layout changes.
• Results: accurate, cost-effective, and sustainable indoor positioning and navigation.

🚚 Last-Mile Logistics

Delivering goods from distribution centres to customers is one of the most expensive and polluting steps in the supply chain. Optimising delivery routes is a complex problem that requires fast, local solutions.
With CoIoTIA:

• Delivery areas are divided into smaller subproblems solved by micro-models.
• Routes are continuously adapted to traffic, schedules, and environmental conditions.
• Results: shorter delivery times, lower costs, and reduced carbon footprint.