DocumentCode
2493569
Title
A sensing system for data collection with broadcasting predicted data
Author
Fujita, Naotaka ; Yoshihisa, Tomoki ; Tsukamoto, Masahiko
Author_Institution
Grad. Sch. of Eng., Kobe Univ., Kobe
fYear
2008
fDate
15-18 Dec. 2008
Firstpage
465
Lastpage
470
Abstract
We herein propose an energy-efficient protocol for data collection in a large-scale wireless sensor network (WSN), called Broadcast and Collect (B&C), which broadcasts predicted sensor information and collects actual sensor information that differs significantly from that predicted based on past sensor information. The B&C method collects sensor information from large numbers of wireless sensor nodes quickly with little communication traffic and low power consumption. In recent years, the WSN, in which large numbers of wireless sensor nodes are installed to environment, has attracted attention as an environmental management method. The WSN requires information to be collected quickly from a wireless sensor node with little communication traffic and low power consumption. In this study, we investigate the proposed method through an experiment in the real environment using wireless sensor nodes. The experimental results reveal that the B&C method can reduce communication traffic and power consumption when there are large numbers of wireless sensor nodes in the environment.
Keywords
protocols; sensor fusion; wireless sensor networks; broadcast-and-collect protocol; broadcasting predicted data; data collection; energy efficient protocol; predicted sensor information broadcast; sensing system; wireless sensor network; Broadcasting; Energy consumption; Environmental management; Intelligent sensors; Large-scale systems; Sensor systems; Telecommunication traffic; Temperature sensors; Transceivers; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-3822-8
Electronic_ISBN
978-1-4244-2957-8
Type
conf
DOI
10.1109/ISSNIP.2008.4762032
Filename
4762032
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