Abstract—Radio Frequency Identification (RFID) systems, due to recent technological advances, have been used for various advantages in industries like production facilities, supply chain management etc. Read accuracy and coverage achieved by readers are some of the critical factors to be considered in the adoption of any RFID system. For passive tags, these parameters depend not only on the volume of region that receives sufficient power from the reader but also on the relative orientation of reader and tag antennas as well as their polarization. In this work, we used Genetic Algorithm to optimize the directional antenna beam direction including down tilt to maximize the reader coverage and accuracy. This work can be used as an effective tool in warehouse management and logistics.
Index Terms—RIFD, antenna, optimization, genetic algorithm.
Nazish Irfan and Mustapha C. E. Yagoub are with the School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada (e-mail: email@example.com, firstname.lastname@example.org).
Khelifa Hettak is with Communication Research Center, Ottawa, ON, Canada (e-mail: email@example.com)
Cite: Nazish Irfan, Mustapha C. E. Yagoub, and Khelifa Hettak, "Genetic-Based Approach for Efficient RFID Reader Antenna Positioning," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 780-784, 2012.