| 基于锚节点和高斯函数的测距算法 |
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| 引用本文： | 万国峰. 基于锚节点和高斯函数的测距算法[J]. 计算机工程, 2013, 39(2): 73-76 |
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| 作者姓名： | 万国峰 |
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| 作者单位： | 西北民族大学电气工程学院,兰州,730030 |
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| 基金项目： | 西北民族大学中央高校基本科研业务费专项基金资助项目(ZYZ2012058)；四川省科技支撑计划基金资助项目(2011 GZ005) |
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| 摘 要： | 针对高斯模型中含有路径散逸指数而产生较大测距误差的缺点，设计参考锚节点高斯校正算法(Reference-G)。运用高斯分布函数滤除小概率节点接收信号强度(RSSI)值，以锚节点对之间的已知距离和测量的RSSI值为参考，对被测RSSI值进行校正，从而消除环境因子。仿真结果证明，Reference-G的测距不受环境的影响，不同环境下定位误差基本相同，在相同误差的情况下，锚节点数是高斯模型的1/3以下。
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| 关 键 词： | 无线传感器网络 高斯模型 接收信号强度测距 路径散逸指数 节点定位 |
| 收稿时间： | 2012-03-30 |
| 修稿时间： | 2012-05-28 |
Ranging Algorithm Based on Anchor Nodes and Gauss Function |
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| WAN Guo-feng. Ranging Algorithm Based on Anchor Nodes and Gauss Function[J]. Computer Engineering, 2013, 39(2): 73-76 |
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| Authors: | WAN Guo-feng |
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| Affiliation: | (School of Electrical Engineering, Northwest University for Nationality, Lanzhou 730030, China) |
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| Abstract: | Due to Gauss model has larger ranging error because of environmental path dispersion index, Reference-G mode is proposed. This mode uses Gauss distribution function to filter small probability Received Signal Strength Indicator(RSSI) values, and uses the known distance and measured RSSI between anchor nodes to correct the distance by being measured RSSI value, thus path dispersion index is eliminated. Simulation result shows that the ranging of Reference-G is independent on environment, and location errors in different environment are almost equal. The number of anchor nodes in Reference-G is less than 1/3 of Gauss mode with same errors. |
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| Keywords: | Wireless Sensor Network(WSN) Gauss model ranging on Received Signal Strength Indicator(RSSI) path dispersion index node localization |
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