DocumentCode :
2503429
Title :
Network power saving by group control method with sensing data characteristic
Author :
Arai, A. ; Takeda, Y. ; Nakamura, M. ; Inoue, M.
Author_Institution :
Shibaura Inst. of Technol., Saitama, Japan
fYear :
2012
fDate :
2-5 Oct. 2012
Firstpage :
612
Lastpage :
613
Abstract :
As Wireless Sensor Network (WSN) has been widely accepted, the network is expected to be applied to environmental measure in yards and gardens. Because stable electric power supply is not available in environmental measure, WSN is generally powered by battery. Improving energy efficiency is important in order to extend operation time of WSN. On the other hand, in actual environmental measure, values of sensors do not vary significantly, and neighbor sensors indicate similar values in stable condition. This research proposes Group Control Method as a new power-saving technique. This Method utilizes the similarity of the values among neighbor sensors and time-stable sensor value in environmental measure. The method forms sensor groups and adjusts sleep time of the network nodes to reduce power consumption. In our previous study, a problem remained; when values of sensor have the same tendency as other values of sensors, the nodes are not grouped together. This paper solves the problem with derivatives of sensor values. This paper shows effectiveness of power consumption and sensing accuracy based on simulation evaluation.
Keywords :
energy conservation; environmental factors; power consumption; wireless sensor networks; WSN; energy efficiency; environmental measure; garden; group control method; network node; network power saving; power consumption; sensing accuracy; sensing data characteristic; sensor group; sleep time; time-stable sensor value; wireless sensor network; yards; Batteries; Battery charge measurement; Media Access Protocol; Power demand; Sensors; Wireless sensor networks; Zigbee; Wireless Sensor Network; power-saving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-1500-5
Type :
conf
DOI :
10.1109/GCCE.2012.6379930
Filename :
6379930
Link To Document :
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