计算机与现代化 ›› 2013, Vol. 1 ›› Issue (9): 167-171.doi: 10.3969/j.issn.1006-2475.2013.09.041
• 网络与通信 • 上一篇 下一篇
王晓兰
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WANG Xiao-lan
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摘要： 针对集中式传感器网络在计算样本协方差矩阵的特征值和特征矢量过程中存在的数据拥塞问题，提出一种利用分布式传感器网络计算的解决方案，该方案利用幂法结合一致滤波相关理论，实现样本协方差矩阵的特征值和特征矢量的分布式计算。仿真结果验证了算法的有效性。
关键词: 无线传感器网络, 样本协方差矩阵, 幂法, 平均一致滤波
Abstract: Due to the data congestion problem in the process of computing the eigenvalues and eigenvectors of sample covariance matrix by using centralized wireless sensor networks, a scheme which uses distributed wireless sensor networks is proposed. This scheme can compute the eigenvalues and eigenvectors of sample covariance matrix in a fully distributed way by using power method and average consensus filter related theory. Simulation results show the correctiveness and effectiveness of the algorithm.
Key words: wireless sensor network, sample covariance matrix, power method, average consensus filter
中图分类号:
TN911
王晓兰. 无线传感器网络中特征矢量和特征值的分布式计算[J]. 计算机与现代化, 2013, 1(9): 167-171.
WANG Xiao-lan . Distributed Computing of Eigenvectors and Eigenvalues in Wireless Sensor Networks[J]. Computer and Modernization, 2013, 1(9): 167-171.
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http://www.c-a-m.org.cn/CN/Y2013/V1/I9/167
