An adaptive hybrid dynamic power management method for handheld devices

Author

Shih, Hung Cheng ; Wang, Kuochen

Author_Institution

Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu

Volume

1

fYear

2006

fDate

5-7 June 2006

Abstract

In this paper, we propose an adaptive hybrid dynamic power management (AH-DPM) strategy based on a predictive shutdown scheme and an adaptive non-stationary stochastic process. The power consumption of AH-DPM, compared with the oracle algorithm (theoretical lower bound), is only 9.19% higher. Compare with other classical DPM algorithms, the power consumption of AH-DPM is 45.48% less than the static timeout algorithm, 17.45% less than an adaptive time out algorithm (Doughs et. al. 1995), and 20.93% less than a predictive shutdown algorithm (Huang et al. 2000). The uniqueness of the proposed AH-DPM is that it is designed for electronic components with multiple active/inactive states, and is thus applicable to handheld devices with ARM-based CPUs or IEEE 802.11 chipsets

Keywords

mobile radio; power consumption; stochastic processes; AH-DPM strategy; ARM-based CPU; IEEE 802.11 chipset; adaptive hybrid dynamic power management; adaptive nonstationary stochastic process; electronic component; handheld devices; predictive shutdown scheme; Batteries; Computer science; Delay; Energy consumption; Energy management; Handheld computers; Power system management; Prediction algorithms; Stochastic processes; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Networks, Ubiquitous, and Trustworthy Computing, 2006. IEEE International Conference on

Conference_Location

Taichung

Print_ISBN

0-7695-2553-9

Type

conf

DOI

10.1109/SUTC.2006.1636166

Filename

1636166