Nodes’ weighted localization research of wireless sensor network

doi:10.3778/j.issn.1002-8331.2010.18.032

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (18): 100-102.DOI: 10.3778/j.issn.1002-8331.2010.18.032

• 网络、通信、安全 • Previous Articles Next Articles

Nodes’ weighted localization research of wireless sensor network

CHEN De-min1，ZHANG Yuan1，LI Peng2

1.Artificial Intelligence Institute，Henan University of Technology，Zhengzhou 450001，China
2.College of Computer Scinece，Harbin Institute of Technology，Harbin 150001，China

Received:2008-12-11 Revised:2009-02-26 Online:2010-06-21 Published:2010-06-21
Contact: CHEN De-min

无线传感器网络节点的加权定位研究

陈得民1，张元1，李鹏2

1.河南工业大学人工智能研究所，郑州 450001
2.哈尔滨工业大学计算机科学与技术学院，哈尔滨 150001

通讯作者: 陈得民

Abstract

Abstract: This paper presents a sensor network model based on the weighted localization algorithm in the practical project.Using maths modeling，maths analysis and optimization theory and according to the pressure characteristics of the grain bottom，a weighted localization algorithm is proposed，the sensor network model is founded based on the algorithm.Compared several models in literatures，this mode optimizes the nodes localization and advances the measure precision.Experiment shows high reliability and applicability.

Key words: maths model, localization algorithm, network model

摘要： 根据实际工程提出一种基于加权定位算法的粮库压力传感器网络模型。运用数学建模、数学分析、最优化理论知识，根据浅圆粮仓粮堆底部力场特性，提出一种加权定位算法，根据此算法构建压力传感器网络模型。对比文献中提出的几种传感器网络模型，该方法优化了传感器节点的布置，提高了监测精度。实验显示该方法具有很高可靠性和适用性。

关键词: 数学模型, 定位算法, 网络模型

CLC Number:

TE341
O242

CHEN De-min1，ZHANG Yuan1，LI Peng2. Nodes’ weighted localization research of wireless sensor network[J]. Computer Engineering and Applications, 2010, 46(18): 100-102.

陈得民1，张元1，李鹏2. 无线传感器网络节点的加权定位研究[J]. 计算机工程与应用, 2010, 46(18): 100-102.

[1]	CHEN Wanfen, WANG Yujia, LIN Weixing. Heterogeneous Ensemble Surrogate Assisted Multi-objective Particle Swarm Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(23): 71-80.
[2]	XIA Yusheng, LIU Kai, ZHANG Hao, JIN Feiyu, ZHENG Linjiang. Multilateral-Confined Method for Indoor Localization：Algorithm Design and System Implementation [J]. Computer Engineering and Applications, 2019, 55(11): 250-256.
[3]	ZHANG Wenyuan1, DING Jingzhen1, YANG Lina2, YANG Xiangyu1. Implementation of optimal route analysis algorithm for indoor and outdoor integration [J]. Computer Engineering and Applications, 2018, 54(18): 58-65.
[4]	XU Zhe, SONG Zeqi. Convolution neural network compression method with scale factor [J]. Computer Engineering and Applications, 2018, 54(12): 105-109.
[5]	ZHENG Xuehui, WANG Shitong. Transfer learning based radius-basis-function neural-network modeling [J]. Computer Engineering and Applications, 2016, 52(5): 6-10.
[6]	ZHOU Shichao, ZHANG Huyin, YANG Bing. Voice service text classification based on deep belief network [J]. Computer Engineering and Applications, 2016, 52(21): 157-161.
[7]	YANG Qiang, LU Gang. Establishment and study of properties of Weibo social network model [J]. Computer Engineering and Applications, 2016, 52(12): 42-48.
[8]	ZHOU Lele1，2，3, ZHENG Quan1，2，3, WANG Song1, YANG Jian1, YANG Zhiwei1，2，3. Research on updates for high-dimensional indexing technology based on small-world model [J]. Computer Engineering and Applications, 2016, 52(11): 77-83.
[9]	LIU Ying, WANG Nan. Comparison of clause alignment based on maximum entropy model and Back Propagation neural network model [J]. Computer Engineering and Applications, 2015, 51(7): 112-117.
[10]	ZHANG Cangsong, GUO Jun, CUI Jiao, SHANG Jun. Indoor positioning optimization techniques based on RSSI [J]. Computer Engineering and Applications, 2015, 51(3): 235-238.
[11]	PENG Hong, ZHAO Yang, XIA Tianpeng. RSSI accuracy WSNs based on optimized weighted centroid localization algorithm [J]. Computer Engineering and Applications, 2015, 51(21): 88-91.
[12]	LE Meilong， JIANG Dan. Studies for container pre-marshalling problem based on network model [J]. Computer Engineering and Applications, 2014, 50(4): 40-44.
[13]	ZHAO Ming, QIAO Gangzhu, JIE Jing. Monte-Carlo method based localization algorithm for underground wireless sensor network [J]. Computer Engineering and Applications, 2013, 49(23): 81-85.
[14]	JIANG Huiping, YANG Guosheng. Algorithm of networked perception node location based on panorama picture spelling [J]. Computer Engineering and Applications, 2012, 48(8): 128-130.
[15]	WANG Baoshan, DING Yong, LIU Haidong. Route generation method for Urban Rail Transit network [J]. Computer Engineering and Applications, 2012, 48(36): 27-30.

Nodes’ weighted localization research of wireless sensor network

无线传感器网络节点的加权定位研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics