Artificial immune network-based anti-collision algorithm for dense RFID readers

作者：

Highlights：

• A comprehensive scheduling-based RFID reader anti-collision model is proposed.

• An artificial immune network with hybrid encoding format is well-designed.

• The effects of slots, channels, locations and power of readers are investigated.

• The single-density and multiple-density tag distribution are evaluated.

• The simulation results suggest the effectiveness and efficiency of AINetHE-RA.

摘要

•A comprehensive scheduling-based RFID reader anti-collision model is proposed.•An artificial immune network with hybrid encoding format is well-designed.•The effects of slots, channels, locations and power of readers are investigated.•The single-density and multiple-density tag distribution are evaluated.•The simulation results suggest the effectiveness and efficiency of AINetHE-RA.

论文关键词：Artificial immune network,Hybrid encoding,Non-uniform tag distribution,Optimization,Reader collision,Sectionalized warehouse management,Tag identification

论文评审过程：Available online 14 February 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.033