Research of Node Location Algorithm in Wireless Sensor Network

被引：0

作者：

Zhao, Jianqiang ^{[1
]}

Yao, Ge ^{[2
]}

Zhang, Jie ^{[2
]}

Yao, Sufen ^{[1
]}

机构：

[1] Tianjin Univ Commerce, Inst Informat Engn, Tianjin, Peoples R China

[2] Nanjing Univ, Nanjing, Jiangsu, Peoples R China

来源：

ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2 | 2011年 / 129卷

关键词：

WSN; position; MCL; optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To solve the location problem of WSN nodes, an improved MCL algorithm is used. Phase velocity and motion direction of the node are estimated by Newton's difference method, and the energy consumption in the stage of the node's position forecasting and filtering is reduced. Recursion type importance sampling method is used to forecast the posterior probability distribution of node location in this algorithm, which improves locating accuracy and optimizes the positioning performance of MCL algorithm.

引用

页码：309 / +

页数：2

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