基于遗传算法的RFID读写器网络高效标签检测

N. Irfan, M. Yagoub, K. Hettak
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引用次数: 2

摘要

射频识别(RFID)系统,由于最近的技术进步,已用于各种优势的行业,如生产设施,供应链管理等。然而,有时这需要密集地部署读取器以覆盖工作区域。如果不优化阅读器的位置和数量,许多阅读器将是多余的,从而降低整个RFID系统的效率。针对这一冗余读取器问题提出了许多算法,但现有的算法都是基于全向读取器天线方向图,不具有实用性。本文基于实际定向阅读器天线方向图,采用遗传算法对天线波束进行优化,消除冗余阅读器。
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Genetic algorithm based efficient tag detection in RFID reader networks
Radio Frequency Identification (RFID) systems, due to recent technological advances, have been used for various advantages in industry like production facilities, supply chain management etc. However, sometimes this requires a dense deployment of readers to cover the working area. Without optimizing reader's location and number, many of them will be redundant, reducing the efficiency of the whole RFID system. There are many algorithms proposed to solve this redundant reader problem, but all existing algorithms are based on omnidirectional reader antenna pattern, which is not practical. In this paper, a genetic algorithm is used to optimize the antenna beam to eliminate redundant reader based on real directional reader antenna pattern.
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