Power-Adaptive Computing System Design for Solar-Energy-Powered Embedded Systems
File(s)
Accepted version
Author(s)
Type
Journal Article
Abstract
Through energy harvesting system, new energy sources are made available immediately for many advanced applications based on environmentally embedded systems. However, the harvested power, such as the solar energy, varies significantly under different ambient conditions, which in turn affects the energy conversion efficiency. In this paper, we propose an approach for designing power-adaptive computing systems to maximize the energy utilization under variable solar power supply. Using the geometric programming technique, the proposed approach can generate a customized parallel computing structure effectively. Then, based on the prediction of the solar energy in the future time slots by a multilayer perceptron neural network, a convex model-based adaptation strategy is used to modulate the power behavior of the real-time computing system. The developed power-adaptive computing system is implemented on the hardware and evaluated by a solar harvesting system simulation framework for five applications. The results show that the developed power-adaptive systems can track the variable power supply better. The harvested solar energy utilization efficiency is 2.46 times better than the conventional static designs and the rule-based adaptation approaches. Taken together, the present thorough design approach for self-powered embedded computing systems has a better utilization of ambient energy sources.
Date Issued
2014-08-13
Date Acceptance
2014-07-16
Citation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2014, 23 (8), pp.1402-1414
ISSN
1557-9999
Publisher
IEEE
Start Page
1402
End Page
1414
Journal / Book Title
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume
23
Issue
8
Copyright Statement
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6877694
Publication Status
Published