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Investigation of the Effect of Moving Forklift on Data Transmission of IEEE 802.15.4 Wireless Sensor Radio

机译:移动叉车对IEEE 802.15.4无线传感器无线电的数据传输影响的研究

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摘要

Low-cost wireless sensors embedded in machines and plant floors are essential components for intelligent monitoring and automation in automated manufacturing systems. To enable robust and confident industrial adoption of wireless sensor systems, their data transmission performance must be guaranteed before deployment. Moving objects such as forldifts in common manufacturing settings are known to cause errors and losses in wireless sensor data transmission. As an essential step toward building wireless sensor-based manufacturing plant floor monitoring systems, this study has conducted systematic data transmission performance measurements with IEEE 802.15.4 sensors in the presence of a moving forklift. It is found that for a typical moving forklift, its path loss profile can be predicted based on its stationary path loss profile. Specifically, the path loss for a moving forklift can be adequately modeled using a two-state time-dependent model with both deterministic and random contributions. Such a two-state path loss model can be applied to adequately estimate the packet error rate in the presence of moving objects.
机译:嵌入在机器和工厂车间中的低成本无线传感器是自动化制造系统中智能监控和自动化的基本组件。为了使无线传感器系统能够可靠,可靠地工业应用,必须在部署之前确保其数据传输性能。众所周知,常见制造环境中的移动物体(例如遗忘物)会导致无线传感器数据传输中的错误和损失。作为构建基于无线传感器的生产车间监控系统的重要步骤,本研究在移动叉车的情况下使用IEEE 802.15.4传感器进行了系统的数据传输性能测量。已经发现,对于典型的移动叉车,可以基于其静止路径损耗轮廓来预测其路径损耗轮廓。具体而言,可以使用具有确定性和随机影响的两状态时间相关模型来充分建模移动叉车的路径损失。可以将这种两状态路径损耗模型应用于在存在运动对象的情况下充分估计分组错误率。

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