DocumentCode
1883919
Title
Prediction of the Lifetime of a Battery-Operated Video Node Using Offline and Online Measurements
Author
Zhang, G. ; Manduchi, R.
Author_Institution
Univ. of California, Santa Cruz
fYear
2007
fDate
16-18 July 2007
Firstpage
64
Lastpage
68
Abstract
This paper presents a model for determining the first and second order statistics of the lifetime of a battery-operated node. This model assumes knowledge of the statistics of duration and consumption of the tasks that can be performed by the system, as well as of the statistics of the task occurrences and of the remaining charge in the battery. The latter may be monitored by an onboard sensor. Knowledge of the remaining lifetime is very important in order to devise an online control strategy assuring that specific requirements are met.
Keywords
battery management systems; energy consumption; power measurement; remaining life assessment; wireless sensor networks; battery operated node; battery operated video node; first order statistics; lifetime prediction; offline measurements; onboard sensor; online control strategy; online measurements; second order statistics; wireless camera networks; Batteries; Cameras; Connectors; Energy consumption; Life estimation; Lifetime estimation; Monitoring; Statistics; Video compression; Wireless sensor networks; Wireless camera networks; lifetime prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Methods for Uncertainty Estimation in Measurement, 2007 IEEE International Workshop on
Conference_Location
Sardagna
Print_ISBN
978-1-4244-0933-4
Electronic_ISBN
978-1-4244-0933-4
Type
conf
DOI
10.1109/AMUEM.2007.4362572
Filename
4362572
Link To Document