Robustness optimization for solving the deployment of RFID readers problem

A. Raghib, B. A. E. Majd, O. Ouchetto, B. Aghezzaf
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引用次数: 4

Abstract

Radio Frequency identification (RFID) is a new technology that can identify objects without physical contact using radio frequency waves. The RFID system consists of a Tag attached in objects (people, plants, equipments, etc) and contains a unique information. The tags are identifiable by a Reader, when they're located in its interrogation range. The deployment of readers problem with the aim to optimize several objectives by focusing on the coverage, the number of deployed readers and their interference. In practice, the optimal solutions to the deployment readers problem can significantly degrade because of uncontrollable variations on the parameters. In this work, we introduce for the first time the robustness multi-objective optimization for solving the deployment of RFID reader problem. Therefore, we reach the robust solutions that are optimal and insensitive to uncertainties on the optimization parameters.
鲁棒性优化解决RFID读写器的部署问题
无线射频识别(RFID)是一种利用无线电波在没有物理接触的情况下识别物体的新技术。RFID系统由附着在物体(人、植物、设备等)上的标签组成,并包含唯一的信息。当标签被定位在阅读器的审讯范围内时,它就能识别出来。读者的部署问题,旨在优化几个目标,重点是覆盖范围,部署读者的数量和他们的干扰。在实践中,由于参数的不可控变化,部署读取器问题的最优解可能会显著降低。在这项工作中,我们首次引入鲁棒性多目标优化来解决RFID读写器的部署问题。因此,我们得到了对优化参数的不确定性不敏感的最优鲁棒解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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