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    吴桂平, 虞慧群, 范贵生. 一种基于RSSI距离比的传感器节点定位算法[J]. 华东理工大学学报(自然科学版), 2013, (5): 596-600.
    引用本文: 吴桂平, 虞慧群, 范贵生. 一种基于RSSI距离比的传感器节点定位算法[J]. 华东理工大学学报(自然科学版), 2013, (5): 596-600.
    WU Gui-ping, YU Hui-qun, FAN Gui-sheng. A WSN Nodes Locating Algorithm Based on RSSI Distance Ratio[J]. Journal of East China University of Science and Technology, 2013, (5): 596-600.
    Citation: WU Gui-ping, YU Hui-qun, FAN Gui-sheng. A WSN Nodes Locating Algorithm Based on RSSI Distance Ratio[J]. Journal of East China University of Science and Technology, 2013, (5): 596-600.

    一种基于RSSI距离比的传感器节点定位算法

    A WSN Nodes Locating Algorithm Based on RSSI Distance Ratio

    • 摘要: 随着无线传感器网络的应用与发展,WSN作为一种全新的信息获取和处理技术已得到广泛应用。如何对传感器网络节点进行快速、精确的定位,已成为WSN系统急需解决的问题。为此,提出了一种基于RSSI距离比的MDS定位算法。该算法巧用RSSI距离比,结合Euclidean测距技术计算节点间距离矩阵,运用MDS算法建立相应的全局坐标系统。根据已知锚节点物理位置,通过坐标变换(旋转与平移)最终确定未知节点的物理位置。实验结果表明:该方法能有效地提高定位的精度,对开发高精度定位系统具有重要的参考价值。

       

      Abstract: With the development of wireless sensor network, WSN is obtaining a widely application as a new technology of acquiring and processing information. However, how to quickly locate the network nodes is also becoming an urgent problem in WSN system. This paper proposes a MDS locating algorithm based on the RSSI distance ratio. In the proposed algorithm, the distance matrix among those nodes is obtained by combining the RSSI distances ratio with the Euclidean distance measurement technique, and the global coordinate system is constructed via MDS analysis. Finally, the physics location of unknown nodes can be determined by coordinate transformation. The experiment results show that the proposed algorithm can effectively improve the accuracy of location and has important reference value for the development of high precision positioning system.

       

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