What question did this study set out to answer?

This research aims to optimize the RFID polling interval to enhance asset tracking accuracy and reduce inefficiencies.

Enhancing Healthcare RFID Asset Tracking: A Multi-Objective Optimization Approach Considering Network Delay, False Identification, and Energy Efficiency

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Simulation-based optimization improves asset tracking by reducing network delay and operational costs in healthcare settings.

This research aims to optimize the RFID polling interval to enhance asset tracking accuracy and reduce inefficiencies.
Developed a multi-objective optimization model
Applied simulation-based optimization to RFID polling strategies
Evaluated network delay, energy consumption, and false identification rates
Utilized Monte Carlo simulation to model asset movement
Conducted sensitivity analysis on polling intervals
Identified optimal scanning period of 1460 minutes for 100 assets
Achieved average asset movement rate of 2.48
Demonstrated reduced network delay and improved energy efficiency
Enabled better management of RFID systems with lower operational costs
Framework applicable beyond healthcare to other RFID asset scenarios

Suakanto et al. (2026) studied this question.

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