### Abstract

Original language | Undefined |
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Title of host publication | Proceedings of the International Conference on Operations Research, OR2010 |

Place of Publication | London |

Publisher | Springer Verlag |

Pages | 193-198 |

Number of pages | 6 |

ISBN (Print) | 978-3-642-20008-3 |

DOIs | |

State | Published - Sep 2010 |

### Publication series

Name | |
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Publisher | Springer Verlag |

### Fingerprint

### Keywords

- METIS-276250
- EWI-19165
- IR-75333

### Cite this

*Proceedings of the International Conference on Operations Research, OR2010*(pp. 193-198). London: Springer Verlag. DOI: 10.1007/978-3-642-20009-0_31

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*Proceedings of the International Conference on Operations Research, OR2010.*Springer Verlag, London, pp. 193-198. DOI: 10.1007/978-3-642-20009-0_31

**Computing lifetimes for battery-powered devices.** / Jongerden, M.R.; Haverkort, Boudewijn R.H.M.

Research output: Scientific - peer-review › Conference contribution

TY - CHAP

T1 - Computing lifetimes for battery-powered devices

AU - Jongerden,M.R.

AU - Haverkort,Boudewijn R.H.M.

PY - 2010/9

Y1 - 2010/9

N2 - The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorithms to efficiently compute the expected lifetime and the distribution and expected value of the delivered charge.

AB - The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorithms to efficiently compute the expected lifetime and the distribution and expected value of the delivered charge.

KW - METIS-276250

KW - EWI-19165

KW - IR-75333

U2 - 10.1007/978-3-642-20009-0_31

DO - 10.1007/978-3-642-20009-0_31

M3 - Conference contribution

SN - 978-3-642-20008-3

SP - 193

EP - 198

BT - Proceedings of the International Conference on Operations Research, OR2010

PB - Springer Verlag

ER -