Coverage-Conflict-Aware RFID Reader Placement with Range Adjustment for Complete Tag Coverage in IIoT.

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Radio Frequency Identification (RFID) is crucial for the Industrial Internet of Things (IIoT).
• Dense RFID deployments face challenges like tag collisions and reader interference, impacting reliability and cost.
• Existing reader deployment methods may not be optimal for interference management and resource efficiency.

Purpose of the Study:

• To propose a deterministic algorithm, Reader Deployment Algorithm with Adjustable Reader range (RDA2R), for efficient RFID reader deployment in IIoT.
• To achieve full tag coverage while minimizing interference and reader usage.
• To enhance the scalability and cost-efficiency of RFID infrastructure.

Main Methods:

• The proposed RDA2R algorithm divides the monitored field into grid units.
• It evaluates tag coverage weights and activates high-weight readers with interference checks.
• The algorithm adaptively adjusts interrogation ranges for optimized performance.

Main Results:

• RDA2R requires 46-47% fewer readers than ARLDL and 32-33% fewer than MR2D.
• The algorithm improves average tag coverage per reader by over 30%.
• Simulation results confirm effectiveness under both random and congregation tag distributions.

Conclusions:

• RDA2R offers a scalable and interference-aware deployment strategy for RFID-enabled IIoT.
• The algorithm presents a cost-efficient solution for managing dense RFID deployments.
• RDA2R enhances the reliability and reduces the infrastructure cost in IIoT environments.