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Performance study of virtual fencing using wireless sensing network

机译:使用无线传感网络的虚拟围栏性能研究

摘要

This project report presents the experiments and performance analysis of virtual fence unit consists of microwave motion detector and IEEE 802.15.4 wireless sensor network for maximum sensing range. In particular, the analysis is focusing on the maximum sensing range of virtual fence unit in terms of azimuth angle, elevation angle, height, sensitivity level for indoor and outdoor implementation. The WSN platform is developed using Octopus II sensor nodes while the microwave motion detector is HB100 which detect movement using Doppler effect. Results show the maximum sensing range is maximum at 0º angle in both azimuth and elevation. The maximum sensing range of virtual fence unit is decreasing as azimuth angle increasing. For elevation angle, a significant increment of maximum sensing range at 45º and 60º elevation angle in downwards direction compared to 45º and 60º elevation angle in upwards direction is observed. With high sensitivity level of virtual fence unit, the maximum sensing range of virtual fence unit is larger than the maximum sensing range of virtual fence unit at normal sensitivity level. However, high sensitivity level will not further increase the maximum sensing range if the virtual fence unit has reached its maximum sensing range. Results also show virtual fence unit behaves differently in indoor and outdoor environment and the virtual fence unit has longer maximum sensing range in indoor environment than outdoor environment.
机译:该项目报告介绍了虚拟围栏单元的实验和性能分析,该单元由微波运动检测器和IEEE 802.15.4无线传感器网络组成,以实现最大感测范围。尤其是,分析着眼于虚拟围栏单元在方位角,仰角,高度,室内和室外实现的灵敏度水平方面的最大感应范围。 WSN平台是使用Octopus II传感器节点开发的,而微波运动检测器是HB100,它使用多普勒效应检测运动。结果表明,在方位角和仰角中,最大感测范围均在0º角处最大。虚拟围栏单元的最大感测范围随方位角的增加而减小。对于仰角,与向上的45º和60º仰角相比,在向下的仰角为45º和60º时,观察到的最大感应范围显着增加。虚拟围栏单元的灵敏度水平较高时,虚拟围栏单元的最大感应范围大于正常灵敏度水平下虚拟围栏单元的最大感应范围。但是,如果虚拟围栏单元已达到其最大感应范围,则高灵敏度级别不会进一步增加最大感应范围。结果还表明,虚拟围栏单元在室内和室外环境下的行为有所不同,并且虚拟围栏单元在室内环境下的最大感应范围比室外环境更长。

著录项

  • 作者

    Chan Hui Ting;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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