标题：A Localization Algorithm By Dynamic Path-loss Fading Index for Intelligent Mining System
作者：Mao, Yanyan; Cheng, Dapeng
作者机构：[Mao, Yanyan] Shandong Inst Business & Technol, Key Lab Intelligent Informat Proc Univ Shandong, Yantai, Peoples R China.; [Cheng, Dapeng] Shandong 更多
会议名称：9th IEEE International Conference on Computer Science and Education (ICCSE)
会议日期：AUG 22-24, 2014
来源：2014 PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2014)
关键词：Localization Algorithm; Path-loss Fading Index; Intelligent Mining; System
摘要：In recent years, the localization technology for wireless sensor network becomes an important research issue for Intelligent mine system. The calculation error of traditional RSSI-based localization algorithm may exceed 50%. This paper presents DPFI, a RSSI-based localization algorithm, which achieves higher accuracy in underground personnel localization by acquiring dynamic path-loss fading index (PFI) of wireless signals. The simulation results show that DPFI has 95th percentile positioning error within 1m, while the width of the roadway width is 30 meters. When the error range is 1m and the roadway width is 10m, DPFI also brings a 31.2% performance improvement than traditional RSSI-based algorithm.