Abstract: To overcome the insufficient of Radio Frequency Identification (RFID) in cost and identification distance,and to make it be applied on a large scale in Internet of Things enable manufacturing environment,a method called Integrated RFID Reader-Sensor Node (IRRSN) was proposed.Through multi-hop communication mode of sensor networks,IRRSN and RFID tags were used to build the communication network,which was effectively prolonged the RFID identification distance.On this basis,a kind of IRRSN optimal deployment method based on Adaptive Genetic Algorithm (AGA) was proposed to optimize the network data transmission mode,which realized IRRSN's maximum coverage over the tags and reducing the network cost.Through the case simulation,the effectiveness of the proposed method was analyzed and verified.

Key words: IoT-based manufacturing, radio frequency identification, sensor networks, node deployment, adaptive genetic algorithm

摘要： 为了克服无线射频识别技术在成本和读写距离等方面的不足,使其在物联制造环境中得以大规模应用,采用集成无线射频识别阅读器与传感器节点(IRRSN)的方法,以传感网的多跳通信方式与无线射频识别标签进行组网,有效地延长了无线射频识别信息的识读距离。提出一种基于自适应遗传算法的IRRSN优化配置方法,对网络中数据的传输方式进行优化,实现了IRRSN对标签的最大覆盖率并降低了网络成本。通过案例仿真对所提方法的有效性进行了分析和验证。

关键词: 物联制造, 无线射频识别, 传感网, 节点部署, 自适应遗传算法