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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
A localization parameter estimation model for CKN-based wireless sensor networks
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论文类型：期刊论文
发表时间：2012-01-01
发表刊物：Journal of Computers
收录刊物：EI、Scopus
卷号：22
期号：4
页面范围：38-46
ISSN号：19911599
摘要：Location information of nodes is the basis for many applications in wireless sensor networks (WSNs). However, most previous localization methods make the unrealistic assumption: all nodes in WSN are always awake. This overlooks the common scenario that sensor nodes are duty-cycled to save energy. In this paper we propose a model about localization parameters estimation (LPEM), based on duty-cycled nodes. The model solve: How is the relationship between the parameters (i.e., transmission radius (r), critical neighbor number (k) and the number of nodes (n)) in duty-cycle-based network? And we can use this model to estimate any parameter when the other parameters are known. We conduct a large number of experiments in WSNs simulator Matlab, and find that the parameters are interactional. Moreover, using our model can get the parameters configuration to achieve near-optimal localization accuracy while we run localization algorithm.