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 :
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