DocumentCode
1823960
Title
Battery Lifetime Prediction Model for a WSN Platform
Author
Kerasiotis, Fotis ; Prayati, Aggeliki ; Antonopoulos, Christos ; Koulamas, Christos ; Papadopoulos, George
Author_Institution
Dept. of ECE, Univ. of Patras, Rio, Greece
fYear
2010
fDate
18-25 July 2010
Firstpage
525
Lastpage
530
Abstract
Wireless Sensor Network devices have by nature limited available energy to perform a wide range of demanding tasks. In order to maximize their operation lifetime, optimal resource management is an important challenge and its success requires methodical modeling of the factors contributing to the overall power consumption. Moreover, the power consumed is not always useful on its own, but it should rather express the expected lifetime concerning the device´s normal operation. To achieve such awareness, this paper contributes with a measuring methodology which involves combining power consumption of platform elementary functionalities with battery discharge characteristics, so that a practical, yet accurate battery lifetime prediction model can be formed.
Keywords
power consumption; remaining life assessment; wireless sensor networks; battery discharge characteristics; battery lifetime prediction model; optimal resource management; platform elementary functionalities; power consumption; wireless sensor network devices; Batteries; Current measurement; Discharges; Light emitting diodes; Power demand; Power measurement; Wireless sensor networks; battery lifetime modeling; embedded systems; power consumption; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on
Conference_Location
Venice
Print_ISBN
978-1-4244-7538-4
Type
conf
DOI
10.1109/SENSORCOMM.2010.85
Filename
5558125
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