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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
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Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments

机译：大功率干扰源对异构环境中2.4 GHz频段无线传感器网络和设备的规划和部署的影响

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摘要

In this work, the impact of radiofrequency radiation leakage from microwave ovens and its effect on 802.15.4 ZigBee-compliant wireless sensor networks operating in the 2.4 GHz Industrial Scientific Medical (ISM) band is analyzed. By means of a novel radioplanning approach, based on electromagnetic field simulation of a microwave oven and determination of equivalent radiation sources applied to an in-house developed 3D ray launching algorithm, estimation of the microwave oven's power leakage is obtained for the complete volume of an indoor scenario. The magnitude and the variable nature of the interference is analyzed and the impact in the radio link quality in operating wireless sensors is estimated and compared with radio channel measurements as well as packet measurements. The measurement results reveal the importance of selecting an adequate 802.15.4 channel, as well as the Wireless Sensor Network deployment strategy within this type of environment, in order to optimize energy consumption and increase the overall network performance. The proposed method enables one to estimate potential interference effects in devices operating within the 2.4 GHz band in the complete scenario, prior to wireless sensor network deployment, which can aid in achieving the most optimal network topology.
机译：在这项工作中，分析了微波炉泄漏的射频辐射的影响及其对在2.4 GHz工业科学医学（ISM）频段运行的802.15.4 ZigBee兼容无线传感器网络的影响。通过一种新颖的无线电规划方法，基于对微波炉的电磁场模拟并确定适用于内部开发的3D射线发射算法的等效辐射源，可以估算出微波炉在整个容积中的功率泄漏。室内场景。分析了干扰的大小和可变性质，并估算了运行中的无线传感器对无线电链路质量的影响，并将其与无线电信道测量以及分组测量进行了比较。测量结果揭示了在这种类型的环境中选择适当的802.15.4通道以及无线传感器网络部署策略的重要性，以优化能耗并提高整体网络性能。所提出的方法使人们能够在部署无线传感器网络之前，在整个场景中估计在2.4 GHz频带内工作的设备中的潜在干扰效应，这有助于实现最佳的网络拓扑。

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