#IMC: September 14 - 18 2025

Evaluating IoT-Based Monitoring System in Alpine Environments: A Practical Assessment

Assigned Session: FS 3.150: Methodological advances in mountain research

Abstract ID: 3.12528 | Accepted as Talk | Talk | TBA | TBA

Sophia Brockschmidt (1)
Bernarda Keßler (1), Bernhard Mandl (1), Martin Schafferer (1), Thomas Schmiedinger (1)
(1) University of Applied Sciences Kufstein, Andreas Hofer-Straße 7, 6330 Kufstein, AT

Categories: Remote Sensing
Keywords: IoT, Monitoring, Guidelines

Categories: Remote Sensing
Keywords: IoT, Monitoring, Guidelines

Download
Download

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

N/A
NAME:
TBA
BUILDING:
TBA
FLOOR:
TBA
TYPE:
TBA
CAPACITY:
TBA
ACCESS:
TBA
ADDITIONAL:
TBA
FIND ME:
>> Google Maps

Choose the session you want to submit an abstract. Please be assured that similar sessions will either be scheduled consecutively or merged once the abstract submission phase is completed.

Select your preferred presentation mode
Please visit the session format page to get a detailed view on the presentation timings
The final decision on oral/poster is made by the (Co-)Conveners and will be communicated via your My#IMC dashboard

Please add here your abstract meeting the following requirements:
NO REFERNCES/KEYWORDS/ACKNOWEDGEMENTS IN AN ABSTRACT!
Limits: min 100 words, max 350 words or 2500 characters incl. tabs
Criteria: use only UTF-8 HTML character set, no equations/special characters/coding
Copy/Paste from an external editor is possible but check/reformat your text before submitting (e.g. bullet points, returns, aso)

Add here affiliations (max. 30) for you and your co-author(s). Use the row number to assign the affiliation to you and your co-author(s).
When you hover over the row number you are able to change the order of the affiliation list.

1
1
Add Affiliation(s)

Add here co-author(s) (max. 30) to your abstract. Please assign the affiliation(s) of each co-author in the "Assigned Aff. No" by using the corresponding numbers from the "Affiliation List" (e.g.: 1,2,...)
When you hover over the row number you are able to change the order of the co-author list.

1
2
3
4
1
Add Co-Author(s)
1
2
3
1
Add Keyword
Close