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RFID network topology design based on Genetic Algorithms

机译:基于遗传算法的RFID网络拓扑设计

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Radio Frequency Identification (RFID) is a well known technology that has entered successfully in the realm of innumerable applications and is considered as one of the principal building blocks for the realization of the Internet of Things concept. However, the majority of RFID applications require the utilization of multiple RFID readers and therefore effective and efficient planning of their networks is a major concern. Network planning is a complex process that involves different steps, one of which is its topology design. In this paper, we focus on the topology design process of a RFID network following an optimization-based approach. More precisely, we propose a multi-objective cost function that is used to evaluate candidate solutions for the position and power levels of the set of RFID readers to be deployed. In order to obtain optimal solutions we applied Genetic Algorithms, a well known heuristic technique. Finally, a developed software tool to assist in the topology design is also presented and processing delay measurements are performed.
机译:射频识别(RFID)是一项众所周知的技术,已成功地应用于众多应用领域,被认为是实现物联网概念的主要组成部分之一。但是,大多数RFID应用程序需要使用多个RFID读取器,因此有效而高效地规划其网络是一个主要问题。网络规划是一个复杂的过程,涉及不同的步骤,其中之一就是拓扑设计。在本文中,我们重点关注基于优化方法的RFID网络的拓扑设计过程。更准确地说,我们提出了一个多目标成本函数,该函数用于评估要部署的一组RFID阅读器的位置和功率水平的候选解决方案。为了获得最佳解决方案,我们应用了遗传算法,这是一种众所周知的启发式技术。最后,还介绍了用于拓扑设计的开发软件工具,并执行了处理延迟测量。

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