An energy management framework for energy harvesting embedded systems

Author:

Moser Clemens1,Chen Jian-Jia1,Thiele Lothar1

Affiliation:

1. Swiss Federal Institute of Technology (ETH) Zürich, Zurich, Switzerland

Abstract

Energy harvesting (also known as energy scavenging) is the process of generating electrical energy from environmental energy sources. There exists a variety of different energy sources such as solar energy, kinetic energy, or thermal energy. In recent years, this term has been frequently applied in the context of small autonomous devices such as wireless sensor nodes. In this article, a framework for energy management in energy harvesting embedded systems is presented. As a possible scenario, we focus on wireless sensor nodes that are powered by solar cells. We demonstrate that classical power management solutions have to be reconceived and/or new problems arise if perpetual operation of the system is required. In particular, we provide a set of algorithms and methods for various application scenarios, including real-time scheduling, application rate control, as well as reward maximization. The goal is to optimize the performance of the application subject to given energy constraints. Our methods optimize the system performance which, for example, allows the usage of smaller solar cells and smaller batteries. Furthermore, we show how to dimension important system parameters like the minimum battery capacity or a sufficient prediction horizon. Our theoretical results are supported by simulations using long-term measurements of solar energy in an outdoor environment. In contrast to previous works, we present a formal framework which is able to capture the performance, the parameters, and the energy model of various energy harvesting systems. We combine different viewpoints, include corresponding simulation results, and provide a thorough discussion of implementation aspects.

Funder

Swiss National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Reference27 articles.

1. Berner Fachhochschule. 2007. Bern University of Applied Sciences Engineering and Information Technologies Photovoltaic Lab: Recordings of solar light intensity at Mont Soleil from 01/01/2002 to 31/09/2006. www.pvtest.ch. Berner Fachhochschule. 2007. Bern University of Applied Sciences Engineering and Information Technologies Photovoltaic Lab: Recordings of solar light intensity at Mont Soleil from 01/01/2002 to 31/09/2006. www.pvtest.ch.

2. Next-generation prototyping of sensor networks

3. Geometric Algorithm for Multiparametric Linear Programming

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