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Evaluation of impact factors on RSS accuracy for localization and tracking applications in sensor networks

机译:评估RSS精度对传感器网络中定位和跟踪应用的影响因素

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The use of Received Signal Strength Indicator (RSSI), obtained automatically with the received messages in most sensor radios, is a popular way for estimating the location of a mobile wireless object. The great variation of Received Signal Strength (RSS), which may result in inaccurate estimations, is compensated by the fact that RSS does not require any additional hardware, and may reduce the sensor node power consumption, size and cost. The present work investigates the impact of variety of parameters on RSS by experimenting with Tmote Sky nodes in real-field outdoor environments. Besides the operating frequency, the transmitter–receiver distance, the variation of transceivers, the antenna orientation, and the environment specifics were found as important factors for creating accurate models, which would serve in tracking and localization applications.
机译:在大多数传感器无线电中,随接收到的消息自动获得的接收信号强度指示器(RSSI)的使用是一种估算移动无线对象位置的常用方法。 RSS不需要任何额外的硬件,并且可以减少传感器节点的功耗,尺寸和成本,这可以弥补可能导致估计不准确的接收信号强度(RSS)的巨大差异。本工作通过在室外实际环境中对Tmote Sky节点进行试验,研究了各种参数对RSS的影响。除了工作频率之外,还发现了发射机与接收机之间的距离,收发器的变化,天线的方向和环境特性,这些都是创建精确模型的重要因素,这些模型可用于跟踪和定位应用。

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