Paper Info
Title
Battery Life Estimation of Sensor Node with Zero Standby Power Consumption
Abstract
The wireless sensor network (WSN) is a promising technology for monitoring infrastructures, industrial structures, home security, industrial security, elderly people, and so on. An attractive characteristic of the WSN is to be easily installed to the conventional places by using the battery driven sensor nodes. The equipment cost is rather cheap since the heavy constructing work for wiring the power rails is not needed. On the other hand, the management cost to change the batteries attached to many sensor nodes may be large. Conventional researches have reduced the power consumption of the WSN, i.e. extended the battery life, to reduce such management cost. Some of them have attempted to make the sensor node stay at the standby mode as much as possible, and to reduce the standby power consumption. In contrast to reduce the standby power, we have proposed the sensor node that completely eliminates the standby power consumption. However, the proposed sensor node wakes up from the status without any power, while the conventional node wakes up from the status with some power even if the standby current is very small. That is, the wake-up time of the proposed sensor node may become longer than the conventional node. The longer the wake-up time, the larger the power consumption. This time duration may affect to the power consumption of the WSN when using the proposed sensor nodes. This paper extends the traditional equations for the battery life estimation to our sensor node in order to perform an initial trade-off quickly by using simple equations in an early stage of the development. The estimation calculates the battery life considering the wakeup time by using the measured parameters. As a result of the estimation, it is shown that the our proposal can realize the attractive WSN applications with a long battery life by greatly reducing the power consumption compared with the conventional sensor nodes.
Year
DOI
Venue
2016
10.1109/CSE-EUC-DCABES.2016.179
2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)
Keywords
Field
DocType
battery life estimation,zero standby power consumption,wireless sensor network,WSN,infrastructure monitoring,industrial structures,home security,industrial security,elderly people,battery driven sensor nodes,management cost,wakeup time,measured parameters
Sensor node,Home security,Key distribution in wireless sensor networks,Standby power,Scheduling (computing),Computer science,Computer network,Radio frequency,Battery (electricity),Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-1-5090-3594-6
0
0.34
References 
Authors
15
2
Name
Order
Citations
PageRank
Akira Yamawaki1179.36
Seiichi Serikawa254038.54