Title: Design and implementation of low power Android mobile sink based on load prediction

Authors: Yaqiu Liu; Shuangman Wu; Weipeng Jing

Addresses: Department of Information & Computer Engineering, Northeast Forestry University, Harbin City, Heilongjiang Province 150040, China ' Department of Information & Computer Engineering, Northeast Forestry University, Harbin City, Heilongjiang Province 150040, China ' Department of Information & Computer Engineering, Northeast Forestry University, Harbin City, Heilongjiang Province 150040, China

Abstract: To reduce the power consumption of mobile sink node, a new state PER_NOTIFICATION is added to the standard Android system. Therefore, USB devices can be added to or removed from the system by the sys file interface according to users' specific demand, realising a more fine-grained power management. In addition, an improved CPU load prediction algorithm SAWDLP is proposed to replace the default one in on-demand governor. With SAWDLP, a more accurate CPU load prediction can be done and then a more appropriate frequency can be chosen to reduce the CPU power consumption. Experimental results show that the PER_NOTIFICATION works well in managing the USB devices. The SAWDLP algorithm gets 85.20% higher accuracy in CPU load prediction and 0.40% lower power consumption in comparison to the PAST algorithm, accomplishing the goal of low power design and run time extension.

Keywords: low power design; Android; mobile sink nodes; CPU load prediction; energy consumption; USB devices.

DOI: 10.1504/IJCAT.2016.075513

International Journal of Computer Applications in Technology, 2016 Vol.53 No.3, pp.226 - 235

Received: 23 May 2014
Accepted: 03 Jul 2014
Published online: 28 Mar 2016 *

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