小世界无线传感器网络的协同定位

O. Pandey, Akshay Mahajan, R. Hegde
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引用次数: 3

摘要

小世界特征(SWC)已经在社会、生物、电子和计算机网络等广泛的学科中被观察和研究。然而,SWC在无线传感器网络(WSN)应用中的重要性迄今尚未得到研究。本文研究了在传统WSN中引入SWC对提高WSN节点定位精度的意义。在这种情况下,利用具有大无线电范围的节点将SWC引入传统的WSN。在此基础上,提出了一种基于多维尺度的小世界WSN协同节点定位方法。与传统WSN的节点定位方法相比,该方法具有更好的定位性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative localization in small world wireless sensor networks
Small world characteristics (SWC) have been observed and studied in a wide range of disciplines such as social, biological, electrical and computer networks. However, the significance of SWC in wireless sensor network (WSN) applications has hitherto not been investigated. This work investigates the significance of introducing SWC in a conventional WSN for improving the accuracy of WSN node localization. In this context, nodes with large radio range are utilized to introduce SWC into a conventional WSN. Subsequently, a cooperative node localization method over the small world WSN using multidimensional scaling is developed. The proposed method yields improved localization performance when compared to node localization over conventional WSN.
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