Reinforcement Temporal Difference Learning Scheme for Dynamic Energy Management in Embedded Systems

  • Authors:

  • Lakshmi Prabha Viswanathan;Elwin Chandra Monie

  • Affiliations:

  • Government College of Technology;Thanthai Periyar Government Institute

  • Venue:
  • VLSID '06 Proceedings of the 19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design
  • Year:
  • 2006

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Abstract

Dynamic power management is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. In this paper a novel and non-trivial enhancement of conventional reinforcement learning is adopted to predict the optimal policy out of the existing DPM policies. Reinforcement learning is a computational approach to understanding and automating goal-directed learning and decision-making. The effectiveness of this approach is demonstrated by an event driven simulator which is designed using JAVA for power-manageable embedded devices. Results of the experiments conducted in this regard establish that the proposed DPM scheme enhances power savings considerably.