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Improved Recursive DV-Hop Localization Algorithm with RSSI Measurement for Wireless Sensor Networks

机译:改进了无线传感器网络的RSSI测量递归DV跳定位算法

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摘要

As localization represents the main backbone of several wireless sensor networks applications, several localization algorithms have been proposed in the literature. There is a growing interest in the multi-hop localization algorithms as they permit the localization of sensor nodes even if they are several hops away from anchor nodes. One of the most famous localization algorithms is the Distance Vector Hop (DV-Hop). Aiming to minimize the large localization error in the original DV-Hop algorithm, we propose an improved DV-Hop algorithm in this paper. The distance between unknown nodes and anchors is estimated using the received signal strength indication (RSSI) and the polynomial approximation. Moreover, the proposed algorithm uses a recursive computation of the localization process to improve the accuracy of position estimation. Experimental results show that the proposed localization technique minimizes the localization error and improves the localization accuracy.
机译:由于本地化代表了几种无线传感器网络应用的主骨干,因此在文献中已经提出了若干本地化算法。在多跳定位算法中存在越来越多的兴趣,因为它们允许传感器节点的定位,即使它们远离锚点节点几跳。最着名的本地化算法之一是距离矢量跳(DV-HOP)。旨在最大限度地减少原始DV跳算法中的大本地化误差,在本文中提出了一种改进的DV-Hop算法。使用接收的信号强度指示(RSSI)和多项式近似估计未知节点和锚之间的距离。此外,所提出的算法使用定位过程的递归计算来提高位置估计的准确性。实验结果表明,所提出的本地化技术可最大限度地降低定位误差并提高本地化精度。

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