Kaggle
IoT Sensor Network Energy Optimization Dataset
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Catalog Summary
"500 simulation scenarios analyzing dynamic optimization techniques for energy efficiency in IoT sensor networks. Includes network lifetime, PDR, and energy consumption metrics."
Catalog Notes
Dataset Description
This dataset evaluates the impact of dynamic optimization techniques on energy efficiency in IoT sensor networks through 500 controlled simulation scenarios.
Features (13 columns)
- Network Parameters: Nodes, Area (m²), Initial Energy (J), Transmission Rate (pps)
- Optimization: Traditional vs ICSHSO-Based routing
- Performance Metrics: Network lifetime improvement (%), Energy consumption reduction (%), Packet Delivery Ratio (PDR %), End-to-End Delay (ms)
- Target: Optimization Effectiveness (0 or 1)
Applications
Ideal for ML classification models, routing protocol benchmarking, and energy-efficient IoT network design.
Data Preview
| Simulation_ID | Nodes | Area_m2 | Initial_Energy_J | Transmission_Rate_pps | Optimization_Technique | Network_Lifetime_Improvement_% | Energy_Consumption_Reduction_% | PDR_% | End_to_End_Delay_ms | Residual_Energy_Utilization_% | Reduction_in_Redundant_Transmissions_% | Optimization_Effective |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 50 | 100x100 | 0.5 | 10 | ICSHSO-Based | 45.2 | 38.7 | 95.3 | 12.5 | 87.2 | 42.1 | 1 |
| 2 | 75 | 150x150 | 0.7 | 15 | Traditional | 12.3 | 8.9 | 78.4 | 28.3 | 65.1 | 15.2 | 0 |
Showing first few rows for preview
Cite This Dataset
Ziya (2025). IoT Sensor Network Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/ziya07/iot-sensor-network-dataset
Source metadata: Kaggle (2025)
Indexed by IoTDataset.com on Jan 21, 2026
Review the Source Record
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