Performance Comparison for Massive IoT: RFID Wireless Power Transfer Simulation Results

Simulation results from a joint power-time optimization framework for RFID-based wireless power transfer systems. The dataset, shared by Lina Yuan on figshare in May 2026, likely contains metrics comparing the proposed method to conventional PID control. The 5.5 KB XLS file reports a 37.6% peak efficiency and a 61.9% reduction in power fluctuations for IoT tags operating over 0.5–5 meter distances.

Use Cases

• Benchmarking energy harvesting algorithms based on the reported efficiency and fairness metrics.
• Modeling RFID system performance based on described Friis path loss and rectifier non-linearity models.
• Evaluating adaptive power control strategies based on the Model Predictive Control mechanism.
• Analyzing fairness in resource allocation for heterogeneous IoT sensors based on the described TDMA framework.

Strengths

• Includes specific performance metrics: 37.6% peak efficiency and 61.9% reduction in power fluctuations.
• Results are validated for heterogeneous sensor loads (temperature, IMU, vision) over a defined 0.5–5 m range.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size indicates a very limited scope, likely containing summary results rather than raw simulation data.

Provenance

Source

Lina Yuan via figshare.

Collection Method

Likely generated from simulations of the described optimization framework.

Time Range

Simulation date range is not specified.

Freshness

Last updated 2026-05-04 17:25:24; freshness should be verified.

Geography

Spatial coverage is not specified.