协同定位的仿真研究

Xiaogang Qi, Xingcheng Liu, Haijun Dong, Lifang Liu
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引用次数: 0

摘要

传统的算法都是理论上的解释,没有经过实际的仿真验证,导致无线传感器网络中存在许多不可定位节点和锚节点比例的选择问题。针对这些问题,本文在以下两种场景下对从协同定位开始的三种典型算法进行仿真,比较它们的性能。第一种场景结合锚节点和锚节点定位的盲节点对其他盲节点进行定位,其他盲节点优先通过锚节点定位自己的位置。否则,只有锚节点不少于3个时,知道自己位置的盲节点才会参与定位。大量仿真结果表明,在相同条件下,第二种方法在定位误差和不可定位节点数量方面优于第一种方法。并为锚节点的合理选择提供了最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation study on cooperative localization
Traditional algorithms are explained theoretically without provement from the actual simulation, resulting in many non-locatable nodes and selection problems of the proportion of anchor nodes in wireless sensor network. Against these problems, three typical algorithms that start from collaborative localization are simulated in the following two scenarios to compare their performance. The first scenario combines the anchor nodes and blind nodes localized by anchor nodes to localize other blind nodes, while the other blind nodes preferentially localize their position through anchor nodes. Otherwise, blind nodes knowing their position participate in localization only if there aren't anchor nodes less than three. Large simulation results show that the second performs better than first in term of localization error and the number of non-locatable nodes under the same condition. Moreover, the optimal solution is provided for the proper selection of the anchor nodes.
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