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