无线传感器网络的自定位研究

Xirong Bao, Shi Zhang, Dingyu Xue
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引用次数: 6

摘要

自定位是无线传感器网络的一项关键功能。许多应用程序和内部机制需要节点知道它们的位置。基于两种不同的应用环境,从锚节点密度的角度出发,提出了两种新的分布式协同定位算法:基于质心的预制信标定位算法和基于质心的可伸缩节点定位算法。在Matlab的二维(2-D)空间仿真模型中对两者进行了仿真和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Self-localization of Wireless Sensor Networks
Self-localization is a key function in wireless sensor networks (WSNs). Many applications and internal mechanisms require nodes to know their location. Based on two different application environments and from the view of anchor nodes density, this paper proposes two new algorithms for distributed cooperative localization: Centroid-based with Preplaced Beacon Localization and Centroid-based with Scalable Node Localization. Both of them are simulated and analyzed in a two-dimensional (2-D) space simulation model of Matlab.
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