DocumentCode :
2624150
Title :
A multi-channel bulk data collection for structural health monitoring using wireless sensor networks
Author :
Kuroiwa, Takuto ; Suzuki, Makoto ; Yamashita, Yasutaka ; Saruwatari, Shunsuke ; Nagayama, Tomonori ; Morikawa, Hiroyuki
Author_Institution :
Res. Center for Adv. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan
fYear :
2012
fDate :
15-17 Oct. 2012
Firstpage :
295
Lastpage :
299
Abstract :
Data-intensive wireless sensor network applications, such as structural health monitoring and earthquake monitoring, require high throughput bulk data collection. Based on the fact that each node stores the same amount of sensor data, we propose a Maximum-Subtree-First Collection Protocol (MSFCP), which adopts Maximum-Subtree-First scheduling on top of multi-channel block transfer to maximize overall throughput. We present the theoretical analysis that MSFCP can achieve optimal throughput in the ideal propagation environment, and we achieve overall throughput of 135 kbps on the IRIS Mote platform.
Keywords :
condition monitoring; earthquakes; protocols; radiowave propagation; scheduling; structural engineering; wireless channels; wireless sensor networks; IRIS Mote platform; MSFCP; bit rate 135 kbit/s; data-intensive wireless sensor network application; earthquake monitoring; high throughput bulk data collection; ideal propagation environment; maximum-subtree-first collection protocol; maximum-subtree-first scheduling; multichannel block transfer; multichannel bulk data collection; overall throughput maximization; structural health monitoring; theoretical analysis; Interference; Monitoring; Protocols; Throughput; Topology; Wireless sensor networks; Wireless sensor networks; bulk transfer; multi-channel; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4726-6
Electronic_ISBN :
978-1-4673-4727-3
Type :
conf
DOI :
10.1109/APCC.2012.6388150
Filename :
6388150
Link To Document :
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