DocumentCode
1864260
Title
A distributed newton iteration based localization scheme in underground tunnels
Author
Yuanqing Qin ; Chunjie Zhou ; Shuang-Hua Yang ; Fang Wang
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2012
fDate
3-5 Sept. 2012
Firstpage
851
Lastpage
856
Abstract
One of the main concerns in underground working tunnels is ensuring the safety of the workers and their equipment. Being aware of the real-time position of personnel in such harsh environment is challenging and requires a sophisticated localization system. With traditional Received Signal Strength (RSS) failing to accurately estimate the distance between nodes due to multipath effect in such long and narrow space, Radio Frequency Time-of-Flight (RF-TOF) is proved to be an alternative method for more accurate distance estimation. To reduce the communication cost, a distributed localization scheme is proposed, where a simple Newton Iteration location estimation algorithm is embedded in the blind node. Linear least square estimation is used as the initial value to accelerate the convergence of the iteration. Experimental results show the effectiveness of the proposed scheme.
Keywords
Newton method; distance measurement; geotechnical engineering; least squares approximations; occupational safety; personnel; tunnels; wireless sensor networks; RF-TOF; RSS; blind node; distance estimation; distributed Newton iteration based localization scheme; equipment safety; harsh environment; iteration convergence; linear least square estimation; radio frequency time-of-flight; real-time personnel position; received signal strength; sophisticated localization system; underground working tunnels; workers safety; Atmospheric measurements; Particle measurements; Reliability; Wireless sensor networks; Newton Iteration; localization; time of flight; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location
Cardiff
Print_ISBN
978-1-4673-1559-3
Electronic_ISBN
978-1-4673-1558-6
Type
conf
DOI
10.1109/CONTROL.2012.6334743
Filename
6334743
Link To Document