金仁成

个人信息Personal Information

副教授

硕士生导师

性别:男

毕业院校:吉林工业大学

学位:博士

所在单位:机械工程学院

学科:机械制造及其自动化. 机械电子工程. 测试计量技术及仪器

办公地点:机械工程学院知方楼6025

联系方式:rcjin@dlut.edu.cn

电子邮箱:rcjin@dlut.edu.cn

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An RSSI-based localization algorithm for outliers suppression in wireless sensor networks

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论文类型:期刊论文

发表时间:2015-11-01

发表刊物:WIRELESS NETWORKS

收录刊物:SCIE、EI、Scopus

卷号:21

期号:8

页面范围:2561-2569

ISSN号:1022-0038

关键字:Localization algorithm; Trilateral algorithm; Outliers suppression; RSSI; WSNs

摘要:Node localization technology is one of the most important technologies in wireless sensor networks. Due to the advantages of saving and convenience, received signal strength indication (RSSI) technology is widely taken to measure the distance between the sensor nodes, and then trilateral localization algorithm which is one of the classic algorithms can calculate the position result quickly. However, the result always comes with an irregularly wide error. Environment, temperature and electromagnetism are generally considered the interference factors, which have been widely researched. From another angle, this study focuses on the error of the algorithm itself, and discusses the stability of equations. A trilateral localization algorithm for outliers suppression is proposed. Through a large number of simulation, it is demonstrated that the proposed algorithm has a good performance than classic trilateral algorithm based-on the nearest three anchor nodes. A significant meaning of this research is that the deepest source of gross errors has been found when we use classic trilateral algorithm.