TY - GEN
T1 - Network power saving by group control method with sensing data characteristic
AU - Arai, A.
AU - Takeda, Y.
AU - Nakamura, M.
AU - Inoue, M.
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
KW - Wireless Sensor Network
KW - power-saving
UR - http://www.scopus.com/inward/record.url?scp=84872356115&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872356115&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2012.6379930
DO - 10.1109/GCCE.2012.6379930
M3 - Conference contribution
AN - SCOPUS:84872356115
SN - 9781467315005
T3 - 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
SP - 612
EP - 613
BT - 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
T2 - 1st IEEE Global Conference on Consumer Electronics, GCCE 2012
Y2 - 2 October 2012 through 5 October 2012
ER -