Multisensor Wireless Sensor Network Dataset for Fault Detection and Energy Optimization
Abstract
This dataset contains 702,500 multi-sensor time-series readings collected using ESP32 wireless sensor nodes. It includes environmental measurements (temperature, humidity, air quality), network communication metrics (RSSI, SNR), MAC-layer events (collisions, retransmissions), and battery usage values. The dataset is suitable for WSN machine learning applications such as link quality prediction, anomaly detection, fault analysis, and energy-aware protocol optimization.
Fields of Study & Subjects
Energy Efficient Wireless Sensor Networks
Wireless Sensor Networks for Data Analysis
IoT Networks and Protocols
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset