[1]张昀,于舒娟,王静. 基于鱼群算法的无线传感网簇内信号盲检测[J].计算机技术与发展,2014,24(12):16-19.
　ZHANG Yun,YU Shu-juan,WANG Jing. Blind Detection for Signals within Cluster of Wireless Sensor Networks Based on Artificial Fish School Algorithm[J].,2014,24(12):16-19.
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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:
16-19
栏目:
智能、算法、系统工程
出版日期:
2014-12-10

文章信息/Info

Title:
 Blind Detection for Signals within Cluster of Wireless Sensor Networks Based on Artificial Fish School Algorithm
文章编号:
1673-629X（2014)12-0016-04
作者:
 张昀; 于舒娟; 王静
 南京邮电大学 电子科学与工程学院
Author(s):
 ZHANG Yun; YU Shu-juan; WANG Jing
关键词:
 ; 无线传感网; 鱼群算法; 盲检测; 簇内
Keywords:
 ; wireless sensor networks; fish school algorithm; blind detection; within the cluster
分类号:
TP18
文献标志码:
A
Abstract:
 Based on model clustering in wireless sensor network transmission in this paper,in view of the problem of cluster signal blind detection lowering bit error rate and improving convergence,a signal blind algorithm based on artificial fish school algorithm is proposed. The bottom-up design is used in the novel algorithm and the basic model of artificial fish and its various models of behavior are construc-ted. It doesn’t need to know the problem’s special information and only to compare the advantage and disadvantage for the problem solu-tion. The quadratic programming performance functions of inter-cluster signals is solved by the algorithm. Simulation results show that the algorithm has the advantages of good global convergence,quick convergence speed,low error rate,thus successfully implementing blind detection of sensor signal within the cluster and in the cluster head.

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更新日期/Last Update: 2015-04-15