Abstract ID: 3.12528 | Not reviewed | Requested as: Talk | TBA | TBA

BACKGROUND
Alpine regions are dynamic landscapes where monitoring is essential for tracking environmental changes and natural hazards. Traditional methods face challenges due to inaccessibility and harsh conditions. IoT-based sensor networks offer continuous, real-time data collection, but their effective deployment requires structured guidance.
OBJECTIVES
This study assesses the practical applicability of a newly developed guideline for deploying IoT-based monitoring systems in alpine environments. By testing the guideline with students, researchers, and local stakeholders, the study evaluates its effectiveness in facilitating environmental monitoring.
METHODS
A mixed-method approach is applied, including case studies, experiments, and participatory trials. The guideline is tested through IoT deployment exercises, focusing on sensor durability, network reliability, and data accuracy under extreme conditions. RESULTS
Preliminary results suggest that the guideline improves accessibility and reliability in alpine monitoring. Furthermore, the guideline allows significantly shorter development times and rapid adaptation of existing systems to specific conditions regarding the area of application and the parameters to be monitored.
CONCLUSIONS
IoT solutions significantly advance alpine monitoring by enabling high-resolution and long-term data collection. Validating and refining the guideline with diverse user groups ensures its practical relevance. Future research will integrate automated data processing and adaptive network configurations for enhanced resilience. Short Summary: This study evaluates a guideline for deploying IoT-based monitoring systems in alpine environments, testing its usability with different user groups to enhance environmental data collection and resilience under extreme conditions