[1]王小辉,李圣普,吕海莲. 基于布谷鸟算法的WSN节点定位研究[J].计算机技术与发展,2014,24(12):208-211.
　WANG Xiao-hu,LI Sheng-pu,Lü Hai-lian. Research on WSN Node Positioning Based on Cuckoo Searching Algorithm[J].,2014,24(12):208-211.
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 基于布谷鸟算法的WSN节点定位研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年12期
页码:
208-211
栏目:
应用开发研究
出版日期:
2014-12-10

文章信息/Info

Title:
 Research on WSN Node Positioning Based on Cuckoo Searching Algorithm
文章编号:
1673-629X（2014)12-0208-04
作者:
 王小辉; 李圣普; 吕海莲
 平顶山学院 计算机科学与技术学院
Author(s):
 WANG Xiao-hu; LI Sheng-pu; Lü Hai-lian
关键词:
 ; 传感器节点定位; DV-Hop算法; Cuckoo搜索算法; 累积误差
Keywords:
 ; sensor node positioning; DV-Hop algorithm; Cuckoo searching algorithm; accumulative error
分类号:
TP301.6
文献标志码:
A
摘要:
 传感器节点定位技术是无线传感器网络( WSN)的核心技术之一。文中针对DV-Hop传感器定位算法在定位过程中产生累积误差的问题，首先提出改进的DV-Hop算法修正DV-Hop算法中的平均跳距，然后应用Cuckoo(布谷鸟)搜索算法进一步减少传感器节点定位的误差，最后采用仿真实验对其性能进行测试。仿真实验结果表明，文中所提出的混合算法，与纯DV-Hop算法相比，不但使用更少锚节点节省硬件成本，而且定位精度较高。混合算法能够达到理想的定位精度与效果，具有较高的实用价值。
Abstract:
 The sensor node positioning is the supportive technology in Wireless Sensor Network ( WSN) . DV-Hop algorithm has the ac-cumulative errors during the sensor positioning procedure. In view of this problem,first an improved DV-Hop algorithm is presented to correct the distance of the average hop in DV-Hop algorithm,then introduce Cuckoo searching algorithm to optimize the sensor node po-sitioning errors,and finally apply simulation experiment to test the performance. The simulation experimental results illustrate that the pro-posed algorithm not only uses the less anchor nodes to save the hardware cost,but also increases the sensor positioning precisions com-pared with DV-Hop algorithm. The proposed algorithm can obtain ideal positioning accuracy and effect with high practical value.

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更新日期/Last Update: 2015-04-16