Investigating Wireless Sensor Networks for Node Performance in Landslide Mitigation Tools Using Grafana and Prometheus

Bagaskara Anandayutya¹, Arjuni Budi Pantjawati¹, Nurul Fahmi Arief Hakim¹

1. ¹ Indonesia University of Education

International Symposium on Materials and Electrical Engineering (ISMEE), 2025

Node performance affects wireless sensor network (WSN) dependability in crucial applications like avalanche mitigation. Node failure reduces mitigation system efficacy and can cause data loss. The article presents a Grafana and Prometheus-based node performance monitoring system that monitors operational parameters in near-real time and sends automatic notifications of node failures. The approaches involve developing nodes and LoRa gateways to record metrics, integrating Prometheus and Pushgateway as time series database servers, visualizing data metrics in Grafana, and testing Telegram alert alerts. Simulated node failure, repair, sensor anomaly detection, and power supply monitoring were used for testing. The test findings show that a Grafana-designed dashboard visualization can monitor node uptime, voltage, and sensor metrics in near-real time. The dashboard displays metric data and generates alerts by changing panel color. In each circumstance, the system can send Telegram messages of failure. Notification delivery is also good, with a 30 -second delay between failure detection and notification sending. Through sensor anomaly detection, the monitoring system can help operators make quick maintenance or repair choices by identifying potential damage.

DOI10.1109/ismee68179.2025.11472853Copy