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首页> 外文期刊>Journal of ICT Research and Applications >Improve the Robustness of Range-Free Localization Methods on Wireless Sensor Networks using Recursive Position Estimation Algorithms
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Improve the Robustness of Range-Free Localization Methods on Wireless Sensor Networks using Recursive Position Estimation Algorithms

机译:使用递归位置估计算法提高无线传感器网络上无范围定位方法的鲁棒性

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The position of a sensor node at wireless sensor networks determines the received data sensing accuracy. By the knowledge of sensor positioning, the location of target sensed can be estimated. Localization techniques used to find out the position of sensor node by considering the distance of this sensor from the vicinity reference nodes.  Centroid Algorithm is a robust, simple and low cost localization technique without dependence on hardware requirement. We propose Recursive Position Estimation Algorithm to obtain the more accurate node positioning on range-free localization technique. The simulation result shows that this algorithm has the ability on increasing position accuracy up to 50%.  The trade off factor shows the smaller the number of reference nodes the higher the computational time required. The new method on the availability on sensor power controlled is proposed to optimize the estimated position.  
机译:无线传感器网络上传感器节点的位置决定了接收到的数据传感精度。通过传感器定位的知识,可以估计所感测目标的位置。通过考虑该传感器与附近参考节点的距离来确定传感器节点位置的定位技术。质心算法是一种不依赖硬件要求的健壮,简单且低成本的定位技术。我们提出了递归位置估计算法,以在无范围定位技术上获得更准确的节点定位。仿真结果表明,该算法具有将定位精度提高到50%的能力。权衡因素表明,参考节点的数量越少,所需的计算时间就越大。提出了一种控制传感器功率可用性的新方法,以优化估计位置。

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