![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:teaching
性别:男
毕业院校:重庆大学
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. 计算机软件与理论
办公地点:开发区综合楼405
联系方式:Email: zkchen@dlut.edu.cn Moble:13478461921 微信:13478461921 QQ:1062258606
电子邮箱:zkchen@dlut.edu.cn
A localization method for the Internet of Things
点击次数:
论文类型:期刊论文
发表时间:2013-03-01
发表刊物:JOURNAL OF SUPERCOMPUTING
收录刊物:SCIE、EI
卷号:63
期号:3
页面范围:657-674
ISSN号:0920-8542
关键字:Internet of Things; Localization; Location-based services; Wireless sensor networks
摘要:Many localization algorithms and systems have been developed by means of wireless sensor networks for both indoor and outdoor environments. To achieve higher localization accuracy, extra hardware equipments are utilized by most of the existing localization solutions, which increase the cost and considerably limit the location-based applications. The Internet of Things (IOT) integrates many technologies, such as Internet, Zigbee, Bluetooth, infrared, WiFi, GPRS, 3G, etc., which can enable different ways to obtain the location information of various objects. Location-based service is a primary service of the IOT, while localization accuracy is a key issue. In this paper, a higher accuracy localization scheme is proposed which can effectively satisfy diverse requirements for many indoor and outdoor location services. The proposed scheme composes of two phases: (1) the partition phase, in which the target region is split into small grids; (2) the localization refinement phase, in which a higher accuracy of localization can be obtained by applying an algorithm designed in the paper. A trial system is set up to verify correctness of the proposed scheme and furthermore to illustrate its feasibility and availability. The experimental results show that the proposed scheme can improve the localization accuracy.