DocumentCode :
2637517
Title :
A Data Aggregation Model for Underground Wireless Sensor Network
Author :
Minming, Tong ; Jieru, Niu ; Hu, Wang ; Xiaowen, Liu
Author_Institution :
Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Volume :
1
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
344
Lastpage :
348
Abstract :
According to the actual environment and condition of coal mine, we proposed a data aggregation model for wireless sensor networks to enhance the real-time performance and the reliability of underground environment monitoring system. In this model, all sensor nodes were divided into different grid clusters by geographical information and the network topology was composed of two levels. The lower level including all ordinary nodes was responsible for environment monitoring and delivered the data to the upper level, all the cluster head nodes formed the upper level which took charge of local data collection and establishment of the routing paths to sink. This paper discussed the details of this data aggregation model and the simulation results showed that this data aggregation model was efficient in cutting redundancy data and reducing transmission delay. It was suitable to be applied to the real time monitoring networks in coal mine.
Keywords :
monitoring; telecommunication network reliability; telecommunication network routing; telecommunication network topology; underground communication; wireless sensor networks; coal mine; data aggregation model; environment monitoring system reliability; geographical information; network topology; routing paths; underground wireless sensor network; Clustering algorithms; Communication system control; Data engineering; Data security; Network topology; Redundancy; Remote monitoring; Routing; Scalability; Wireless sensor networks; clustering based on grid; coal mining security; data aggregation; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.736
Filename :
5171189
Link To Document :
بازگشت