Skip to main content
Kaggle

IoT Sensor Network Energy Management Dataset

Sensor Networks & Telemetry IoT Networks
116 views
1 min read
License
Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"Dataset for analyzing dynamic optimization techniques impact on energy efficiency in IoT sensor networks. Contains 500 simulation scenarios with routing protocols comparison and performance metrics."

Catalog Notes

Dataset Purpose

Designed to evaluate energy-efficient optimization techniques in IoT sensor networks through simulation data. Compares traditional routing methods with advanced optimization algorithms (ICSHSO-Based) for network performance enhancement.

Network Parameters

  • Nodes: Number of sensor nodes deployed in network
  • Area: Network coverage (100x100 to 200x200 meters)
  • Initial Energy: Starting energy per node (Joules)
  • Transmission Rate: Data transmission in packets per second
  • Optimization Technique: Traditional vs. ICSHSO-Based routing

Performance Metrics

  • Network Lifetime Improvement: Percentage increase in operational duration
  • Energy Consumption Reduction: Overall energy savings percentage
  • Packet Delivery Ratio (PDR): Successful transmission rate (%)
  • End-to-End Delay: Average latency (milliseconds)
  • Residual Energy Utilization: Efficiency of energy usage (%)
  • Redundant Transmissions Reduction: Decrease in unnecessary communications

Data Characteristics

  • Records: 500 simulation scenarios
  • Features: 13 columns
  • Target Variable: Optimization effectiveness (binary classification)
  • File Size: 37.41 KB

Applications

Machine learning classifier training for energy-efficient routing prediction, IoT research on dynamic optimization techniques, performance analysis of routing protocols, and smart sensor network design.

Data Preview

Simulation_IDNodesArea_m2Initial_Energy_JOptimization_TechniqueEnergy_Consumption_Reduction_%PDR_%End_to_End_Delay_msOptimization_Effective
SIM_00150100x1002.5ICSHSO-Based35.298.512.31
SIM_00275150x1503.0Traditional15.892.128.50
SIM_003100200x2003.5ICSHSO-Based42.699.210.81

Showing first few rows for preview

Provided Citation

Ziya07 (2025). IoT Sensor Network Dataset. Kaggle. Retrieved from https://www.kaggle.com/datasets/ziya07/iot-sensor-network-dataset

This citation is displayed as supplied. Automatic style conversion is disabled because structured citation metadata is not recorded.

Source metadata: Kaggle (2026)

Indexed by IoTDataset.com on Jan 14, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

Browse all Sensor Networks & Telemetry datasets

Share This Research

More in Sensor Networks & Telemetry

View All
IoT Sensors Kaggle

IoT Sensor Network Energy Optimization Dataset - 500 Simulation Scenarios

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.

Jan 22, 2026
IoT Sensors Kaggle

IoT Sensor Network Energy Optimization Dataset

500 simulation scenarios analyzing dynamic optimization techniques for energy efficiency in IoT sensor networks. Includes network lifetime, PDR, and energy consumption metrics.

Jan 21, 2026
IoT Networks Kaggle

IoT Sensor-Cloud Data Transmission Dataset

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.

Jan 13, 2026
IoT Sensors Kaggle

Multivariate Dataset on IoT and AI - Cross-Domain Integration

Multivariate dataset exploring the integration of IoT sensor data with AI algorithms across multiple domains. Features diverse sensor types, environmental parameters, and AI model performance metrics for hybrid intelligent systems research.

Jan 24, 2026
IoT Sensors GitHub

UCSD Comprehensive IoT Dataset Collection

Open-source GitHub repository featuring curated collection of 25+ datasets for deep learning applications in IoT including Gas Sensor Array Drift, ISOLET, Sleep-EDF, and comprehensive benchmark datasets under MIT license for unrestricted research use.

Feb 09, 2026
Data Center & Edge IoT Zenodo

Data Center Temperature IoT Dataset for Anomaly Detection (Zenodo 2025)

Complete and labeled IoT dataset from physical data center with NFC smart passive temperature sensors, containing normal operations and anomalous behaviors for time-series anomaly detection in critical infrastructure environments.

Jan 30, 2026

Explore other topics

All topics →