Analytical Solution for Long Battery Lifetime Prediction in Nonadaptive Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00106626" target="_blank" >RIV/00216224:14330/18:00106626 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-99154-2_11" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-99154-2_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-99154-2_11" target="_blank" >10.1007/978-3-319-99154-2_11</a>

Result language

angličtina

Original language name

Analytical Solution for Long Battery Lifetime Prediction in Nonadaptive Systems

Original language description

Uppaal SMC is a state-of-the-art tool for modelling and statistical analysis of hybrid systems, allowing the user to directly model the expected battery consumption in battery-operated devices. The tool employs a numerical approach for solving differential equations describing the continuous evolution of a hybrid system, however, the addition of a battery model significantly slows down the simulation and decreases the precision of the analysis. Moreover, Uppaal SMC is not optimized for obtaining simulations with durations of realistic battery lifetimes. We propose an analytical approach to address the performance and precision issues of battery modelling, and a trace extrapolation technique for extending the prediction horizon of Uppaal SMC. Our approach shows a performance gain of up to 80% on two industrial wireless sensor protocol models, while improving the precision with up to 55%. As a proof of concept, we develop a tool prototype where we apply our extrapolation technique for predicting battery lifetimes and show that the expected battery lifetime for several months of device operation can be computed within a reasonable computation time.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 15th International Conference on Quantitative Evaluation of SysTems (QEST'18)

ISBN

9783319991535

ISSN

0302-9743

e-ISSN

—

Number of pages

17

Pages from-to

173-189

Publisher name

Springer

Place of publication

Netherlands

Event location

Bejing, China

Event date

Jan 1, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000548912200011