| 水声传感器网络节点自适应加权定位算法 |
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| 引用本文： | 刘胤祥,姜卫东,郭勇.水声传感器网络节点自适应加权定位算法[J].传感器世界,2014(6):34-36,28,5. |
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| 作者姓名： | 刘胤祥 姜卫东 郭勇 |
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| 作者单位： | 海军指挥学院信息系,江苏南京211800 |
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| 基金项目： | 全军军事学研究生资助课题（项目编号：2010JY0669-386） |
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| 摘 要： | 对水声传感器网络节点定位进行研究,针对水声传感器网络节点间测距精度不高的问题,提出一种水声传感器网络节点自适应加权定位算法。考虑到水声传感器网络节点间的测距误差随着节点间距离的增大而增大,算法改进了锚节点选择机制,并且对不同锚节点在定位测度中的权重进行加权,改进定位测度,提高了测距信息的利用效率。仿真实验表明该算法提高了节点定位精度。
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| 关 键 词： | 水声传感器 节点定位 自适应加权 |
Adaptive weighted node localization algorithm for underwater acoustic sensor networks |
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| LIU Yin-xiang,JIANG Wei-dong,GUO Yong.Adaptive weighted node localization algorithm for underwater acoustic sensor networks[J].Sensor World,2014(6):34-36,28,5. |
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| Authors: | LIU Yin-xiang JIANG Wei-dong GUO Yong |
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| Affiliation: | (Department of Information, Naval Command College, Nanjing 211800, China) |
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| Abstract: | The underwater acoustic sensor network localization technology is researched in this paper. Aiming at the problem of low node location precision, an adaptive weighted node localization algorithm for underwater acoustic sensor networks is proposed. Considering the ranging error of the underwater acoustic sensor network nodes increasing with the increase of the distance between nodes, the algorithm improves the anchor nodal selection mechanism, and weights the different anchor nodes in the location measurement, improves location measure, and increases the utilization. rate of measured information. Simulation experiment results show that this algorithm can improve the localization accuracy. |
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| Keywords: | acoustic sensor node self-localization adaptive node selectedand weighted |
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