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The study of human movement effect on Signal Strength for indoor WSN deployment

机译:人力运动对室内WSN部署信号强度的研究

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This paper proposes the use of a wireless sensor network (WSN) as a passive human behavior monitoring system for enabling intelligent green building. The proposed application required further investigation and study of the effect of human movement on wireless signals at 2.4GHz. It is important to understand the significant effect caused by human movement on the Received Signal Strength Indicator (RSSI). Several experiments are conducted using WSN mote from MEMSIC to obtain wireless attenuation models based on the number of people and movement speed. Prior to the experiments, the co-existence of different systems in the 2.4GHz frequency band is measured to select unoccupied IEEE802.15.4 channel to prevent co-channel interferences. Results show that the presence of people moving in indoor significantly affects the RSSI and the attenuation varies with the number of people and their movement speed. The attenuation model of human movement in indoor environment has enabled the use of existing WSN in the building to detect the presence of people and act as a passive sensor for human movement to enable effective lighting and air-conditioning control system.
机译:本文提出了使用无线传感器网络(WSN)作为用于启用智能绿色建筑的被动人类行为监测系统。拟议的申请需要进一步调查和研究人类运动对2.4GHz的无线信号的影响。重要的是要了解由接收信号强度指示器(RSSI)对人体运动引起的显着影响。使用来自MEMSIC的WSN MOTE进行几个实验,以获得基于人数和移动速度的无线衰减模型。在实验之前,测量了2.4GHz频带中不同系统的共存,以选择未占用的IEEE802.15.4通道以防止共同信道干扰。结果表明,人们在室内移动的人显着影响RSSI,衰减随着人数和运动速度而异。室内环境中人体运动的衰减模型使建筑物中的现有WSN在建筑物中使用以检测人们的存在,并充当用于人类运动的被动传感器,以实现有效的照明和空调控制系统。

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