Title :
A localization algorithm by dynamic path-loss fading index for intelligent mining system
Author :
Yanyan Mao ; Dapeng Cheng
Author_Institution :
Key Lab. of Intell. Inf. Process. in Univ. of Shandong, Shandong Inst. of Bus. & Technol., Yantai, China
Abstract :
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.
Keywords :
fading; mining; wireless sensor networks; PFI; RSSI-based localization algorithm; dynamic path-loss fading index; intelligent mining system; localization algorithm; received signal strength indicator; underground personnel localization; wireless sensor network; Computers; Intelligent Mining System; Localization Algorithm; Path-loss Fading Index;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926608