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Related Experiment Video

Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

An MILP-based cross-layer optimization for a multi-reader arbitration in the UHF RFID system.

Jinchul Choi¹, Chaewoo Lee

¹Graduate School of Information and Communication, Ajou University, Suwon 443-749, Korea. rockerjc@ajou.ac.kr

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This summary is machine-generated.

This study introduces a new cross-layer optimization for Radio Frequency Identification (RFID) systems. It effectively mitigates reader interference while improving interrogation delay, reader utilization, and energy efficiency.

Keywords:

MILP RFID anti-collision cross-layer optimization multi-reader arbitration

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Computer Science
Electrical Engineering
Wireless Communication Systems

Background:

Radio Frequency Identification (RFID) systems face performance degradation due to reader interference, impacting interrogation range and tag recognition.
Existing solutions often focus on one or two arbitration metrics (time, frequency, power), increasing optimization complexity.
Reader collision and interference are significant challenges in dense RFID deployments.

Purpose of the Study:

To propose a novel cross-layer optimization design for RFID systems to address reader interference.
To simultaneously achieve multiple objectives: minimum interrogation delay, maximum reader utilization, and energy efficiency.
To develop a unified mathematical framework for optimizing diverse arbitration metrics.

Main Methods:

A cross-layer optimization design combining time division, frequency division, and power control.
Sequential system optimization based on objective priorities using mixed-integer linear programming.
Formulation of a concise single mathematical model by assigning weights to objectives.

Main Results:

Demonstrated effectiveness of the proposed optimization design through numerical results.
Successful mitigation of reader interference in RFID systems.
Achievement of multiple performance objectives including reduced delay and enhanced efficiency.

Conclusions:

The proposed cross-layer optimization effectively solves RFID reader interference.
The design achieves a balance between system performance and resource efficiency.
The unified mathematical formulation simplifies complex multi-objective optimization problems.