DocumentCode :
2606315
Title :
Energy-Efficient Chain-Type Wireless Sensor Network for Gas Monitoring
Author :
Zhou, Gongbo ; Zhu, Zhencai ; Chen, Guangzhu ; Hu, Ningning
Author_Institution :
Sch. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Volume :
2
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
125
Lastpage :
128
Abstract :
As a supplement of current wired gas monitoring system, wireless sensor network can be used to cover the blind area, and to diagnose the faults of wired system. The concept of novel chain-type wireless sensor network (NCWSN) for gas monitoring in coal mine with multi-sections is defined. The connectivity of NCWSN is considered too. To focus on gas monitoring, the advantages of NCWSN for gas monitoring are introduced first, then two energy-efficient methods are adopted in gas monitoring NCWSN which are node scheduling and data fusion. The scheme of node scheduling can keep balance of the energy cost by transmitting energy distribution frame in certain section. The scheme of data fusion can reduce transmission data bits by adopting fuzzy sets. Finally, performances of NCWSN are investigated including energy efficiency and network capability. It is shows that energy efficiency is improved to double by adopting node scheduling and data fusion. In addition, it is important to keep the balance among energy cost, network capability and detection precision by choosing appropriate number of sections.
Keywords :
fuzzy set theory; sensor fusion; wireless sensor networks; coal mine; data fusion; energy-efficient chain-type wireless sensor network; fuzzy sets; gas monitoring; node scheduling; Accidents; Computer networks; Costs; Energy efficiency; Fuzzy sets; Gas detectors; Mechanical sensors; Monitoring; Network topology; Wireless sensor networks; Wireless sensor network; chain-type; energy cost; fuzzy sets; gas monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.140
Filename :
5169024
Link To Document :
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