Abstract
"Dataset simulating IoT sensor data transmission across sensor, edge, and cloud computing layers. Contains 10,000+ records of transmission metrics, network performance, and latency measurements."
Description
Overview
This dataset represents real-world IoT communication patterns across distributed computing layers. It captures the journey of sensor data from collection to cloud processing, including network optimization metrics and transmission performance.
Data Structure
- Total Records: 10,000+ transmission events
- Layers Covered: Sensor → Edge → Cloud
- Metrics Tracked: Latency (ms), bandwidth (Mbps), data size (bytes), packet loss (%)
- Time Period: 3+ months continuous monitoring
Key Variables
- Sensor Layer: Device ID, sensor type, raw data size, collection timestamp
- Edge Computing: Processing time, cache hits, edge server load
- Cloud Layer: Upload time, storage allocation, retrieval latency
- Network Performance: Signal strength (RSSI), connection type, packet retransmissions
Research Applications
Network optimization, edge computing efficiency, IoT architecture design, bandwidth allocation strategies, latency reduction techniques, and cloud-edge-sensor system performance analysis.
Data Preview
| Timestamp | Sensor_ID | Data_Size_bytes | Latency_ms | Bandwidth_Mbps | Packet_Loss_% |
|---|---|---|---|---|---|
| 2025-01-10 08:15 | S001 | 2048 | 125.3 | 45.2 | 0.2 |
| 2025-01-10 08:16 | S002 | 1536 | 98.7 | 52.1 | 0.1 |
| 2025-01-10 08:17 | S003 | 3072 | 156.4 | 38.9 | 0.5 |
Showing first few rows for preview
Cite This Dataset
Kaggle (2026). IoT Sensor-Cloud Data Transmission Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/ziya07/iot-sensorcloud-data-transmission-dataset
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Original source: Kaggle (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 13, 2026
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