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Adaptive duty cycling for energy harvesting systems

Published: 04 October 2006 Publication History

Abstract

Harvesting energy from the environment is feasible in many applications to ameliorate the energy limitations in sensor networks. In this paper, we present an adaptive duty cycling algorithm that allows energy harvesting sensor nodes to autonomously adjust their duty cycle according to the energy availability in the environment. The algorithm has three objectives, namely (a) achieving energy neutral operation, i.e., energy consumption should not be more than the energy provided by the environment, (b) maximizing the system performance based on an application utility model subject to the above energy-neutrality constraint, and (c) adapting to the dynamics of the energy source at run-time. We present a model that enables harvesting sensor nodes to predict future energy opportunities based on historical data. We also derive an upper bound on the maximum achievable performance assuming perfect knowledge about the future behavior of the energy source. Our methods are evaluated using data gathered from a prototype solar energy harvesting platform and we show that our algorithm can utilize up to 58% more environmental energy compared to the case when harvesting-aware power management is not used.

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cover image ACM Conferences
ISLPED '06: Proceedings of the 2006 international symposium on Low power electronics and design
October 2006
446 pages
ISBN:1595934626
DOI:10.1145/1165573
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 October 2006

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Author Tags

  1. energy harvesting
  2. energy neutral operation
  3. low power design

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ISLPED06
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ISLPED06: International Symposium on Low Power Electronics and Design
October 4 - 6, 2006
Bavaria, Tegernsee, Germany

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Cited By

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  • (2024)Novel Power Conservation Methods for LoRa-Based Infrared Sensors in Smart BuildingIEEE Sensors Journal10.1109/JSEN.2024.337833224:9(15311-15326)Online publication date: 1-May-2024
  • (2024)Sustainable Energy-Aware Task Scheduling for Wearable Medical Device Using Flower Pollination Algorithm2024 Intelligent Methods, Systems, and Applications (IMSA)10.1109/IMSA61967.2024.10652869(622-627)Online publication date: 13-Jul-2024
  • (2023)An Energy Efficient Evolutionary Approach for Smart City-Based IoT ApplicationsMathematical Problems in Engineering10.1155/2023/99379492023(1-9)Online publication date: 7-Dec-2023
  • (2023)HF Frequency Multi Band WSPR Beacon with Energy Storage System based on MPPT Charge Controller2023 Seminar on Networks, Circuits and Systems (NCS)10.1109/NCS60404.2023.10397545(171-177)Online publication date: 29-Nov-2023
  • (2023)RL-Based Adaptive Duty Cycle Scheduling in WSN-Based IoT NetsGLOBECOM 2023 - 2023 IEEE Global Communications Conference10.1109/GLOBECOM54140.2023.10437207(3777-3782)Online publication date: 4-Dec-2023
  • (2023)Energy management for wearable medical devices based on gaining–sharing knowledge algorithmComplex & Intelligent Systems10.1007/s40747-023-01101-89:6(6797-6811)Online publication date: 2-Jun-2023
  • (2023)A power-aware task scheduler for energy harvesting-based wearable biomedical systems using snake optimizerAnalog Integrated Circuits and Signal Processing10.1007/s10470-023-02154-y115:2(183-194)Online publication date: 30-Mar-2023
  • (2022)Multi-Objective Resource Scheduling for IoT Systems Using Reinforcement LearningJournal of Low Power Electronics and Applications10.3390/jlpea1204005312:4(53)Online publication date: 8-Oct-2022
  • (2022)Energy Harvesting in Implantable and Wearable Medical Devices for Enduring Precision HealthcareEnergies10.3390/en1520749515:20(7495)Online publication date: 12-Oct-2022
  • (2022)Selected Energy Consumption Aspects of Sensor Data Transmission in Distributed Multi-Microcontroller Embedded SystemsElectronics10.3390/electronics1106084811:6(848)Online publication date: 8-Mar-2022
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