期刊论文、会议论文

Yu, Xiuwu

英文

2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)

2017

6-10

2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)

2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)

July 2017

Singapore

[Yu, Xiuwu] Univ South China, Environm Protect & Safety Engn Inst, Hengyang, Peoples R China.^[Zhou, Lixing] State Key Lab Safety & Hlth Met Mines, Maanshan, Peoples R China.^[Zhang, Feng] Hunan Engn Technol, Res Ctr Decommiss Uranium Tailings, Hengyang, Peoples R China.

IEEE

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-6253-9

10.1109/optip.2017.8030688

Key Research Projects of Hunan [2015SK2005]; State Key Laboratory of Safety and Health for Metal Mines [2016-JSKSSYS-04]; Key Scientific Projects of Hunan Education Committee [15A161]; Innovative Graduate Research Projects of Hunan [CX2016B453]; graduate innovation project in Environment Protection and Safety Engineer Institute of University of South China [2017YCXXM08]; Natural Science Foundation of Jiangxi Provinces [20122BAB201050]

本校为第一且通讯机构

In order to adapt to the narrow space and complex branch in deep mine roadway, which have an adverse impact on the accuracy of nodes localization, a self-localization algorithm for deep mine wireless sensor networks based on MDS-MDS and rigid subset (Rigid-MDS) was proposed. The new distributed algorithm divides whole network into some globally rigid subset based on rigid graph theory, in which nodes have close spatial correlation, less hop and alike path direction with all of other nodes in the same subset, and it reduces the error by shortest path. And afterwards, some boundary nodes close t...