Исследовательская база

WaggleNet: A LoRa and MQTT-Based Monitoring System for Internal and External Beehive Conditions

WaggleNet is a dual-scope beehive monitoring system that captures internal hive conditions and external environmental parameters using a low-cost LoRa-MQTT architecture. Modular worker nodes costing approximately USD 15 use temperature, humidity, light, and GPS sensors inside and around hives. A master node acts as a LoRa-MQTT gateway and forwards observations to a cloud server and mobile application. Field experiments reported 100% packet delivery over 110 meters in line-of-sight conditions and successful communication over 95 meters with obstructions, including nodes inside wooden hives. The system maintained end-to-end latency below five seconds and operated continuously for two months, supporting contextual anomaly detection for resource-constrained precision beekeeping deployments.

Сведения о публикации

Авторы
Minju Jeon, Jiyun Kim, Sewon Kim, Seongmin Park, Bo Zhang, Anthony H. Smith
Организации
🇰🇷 Kyonggi University🇰🇷 Hallym University🇰🇷 Jeonbuk National University🇺🇸 Purdue University
Год
2025
Тип
Preprint

Relevancy to Gratheon

WaggleNet is directly actionable for Gratheon's remote-apiary architecture because it evaluates a complete low-cost telemetry path rather than only a sensor prototype. The internal/external node pairing provides context for separating colony-driven changes from weather-driven changes, while the LoRa gateway topology reduces per-hive connectivity cost. Its measured range, packet delivery, latency, two-month field operation, and approximate node bill of materials provide useful engineering baselines for edge-device networking and monitoring-platform ingestion. The system's simple threshold alerts are also a clear baseline against which Gratheon's richer anomaly-detection methods can be evaluated.

Source and access

This open preprint is available from arXiv:2512.07408. The copied PDF is version 1, submitted on 8 December 2025.