IoT Sensor Network Energy Optimization Dataset - 500 Simulation Scenarios
Abstract
"Dataset with 500 controlled simulation scenarios analyzing ICSHSO-based dynamic optimization for energy efficiency in wireless sensor networks. Includes network lifetime, PDR, residual energy, and transmission reduction metrics."
Description
Dataset Purpose
This dataset addresses one of the most critical challenges in IoT deployments: energy efficiency in resource-constrained sensor networks. It provides comprehensive performance comparisons between traditional routing protocols and advanced ICSHSO (Improved Cuckoo Search-based Harmony Search Optimization) techniques.
Dataset Structure
Each of the 500 simulation instances represents a unique network configuration with varying parameters: network scale (50 to 200 sensor nodes), deployment area (100×100m to 500×500m), initial energy (0.5J to 2.0J per node), transmission rates (10 to 50 packets per second), and optimization methods (Traditional vs ICSHSO-based routing).
Performance Metrics (13 Columns)
Network configuration parameters include Simulation_ID, Nodes, Area_m2, Initial_Energy_J, Transmission_Rate_pps, and Optimization_Technique. Performance outcomes include Network_Lifetime_Improvement_% (8.9% - 45.2%), Energy_Consumption_Reduction_% (6.5% - 38.7%), PDR_% (78.4% - 95.3%), End_to_End_Delay_ms (12.5ms - 28.3ms), Residual_Energy_Utilization_% (65.1% - 87.2%), Reduction_in_Redundant_Transmissions_% (15.2% - 42.1%), and binary Optimization_Effective target (0 or 1).
Key Findings
The dataset reveals up to 45% improvement in network lifetime, nearly 40% reduction in energy consumption, PDR consistently above 95% for optimized networks, and 50% reduction in end-to-end delay compared to traditional routing. Perfect for ML classification, regression, clustering, and feature importance analysis.
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 Energy Optimization Dataset - 500 Simulation Scenarios. [Dataset]. Kaggle. https://www.kaggle.com/datasets/ziya07/iot-sensor-network-dataset
Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.
Original source: Kaggle (2025). Visit official page for more details.
Indexed by IoTDataset.com on Jan 22, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.