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RSSI based Improved Weighted Centroid Localization Algorithm in WSN

机译:基于RSSI改进的WSN改进了重量质心定位算法

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Identification of localization for sensor nodes in wireless sensor nodes is significant issues in many aspects. Location of sensor nodes can be identified through different methods categories as range based and range free. Through this research work we have improved the localization accuracy by using two stage mechanisms. We are using range based location identification methods where we are using received signal strength indicator as primary factors. We are using conventional weighted centroid methods and fine tuned it by using propagation model based computational techniques by minimizing the reference nodes. We have tested our approaches using Cooja simulator and observed that the method can identify the location up to 97 percent accuracy.
机译:无线传感器节点中传感器节点的定位识别是许多方面的重要问题。 传感器节点的位置可以通过不同的方法类别识别,根据基于范围和无距离。 通过这项研究工作,我们通过使用两个阶段机制提高了本地化准确性。 我们正在使用基于范围的位置识别方法,我们正在使用接收的信号强度指示器作为主要因素。 我们通过最小化参考节点,使用基于传播模型的计算技术,使用传统的加权质心方法和微调它。 我们已经使用Cooja模拟器测试了我们的方法,并观察到该方法可以识别高达97%的准确度。

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