research-article

Self-aware Power Management for Maintaining Event Detection Probability of Supercapacitor-powered Cyber-physical Systems

Authors:

Hongsheng LiAuthors Info & Claims

ACM Transactions on Cyber-Physical Systems, Volume 4, Issue 4

Article No.: 42, Pages 1 - 19

https://doi.org/10.1145/3375407

Published: 06 July 2020 Publication History

Abstract

In this article, the self-aware power management framework is investigated for maintaining event detection probability of supercapacitor-powered cyber-physical systems, with a radar network system as an example. Maintaining the event detection probability of the radar network is decomposed as a problem of controlling the quality of service of each network node. Then a power management method based on model predictive control and particle swarm optimization is proposed for tracking the reference quality of service of each node while satisfying the operation constraints. The effectiveness of the proposed method is demonstrated through three simulation studies that cover both single node and network scenarios. In addition, to support the proposed power management method, an online state of charge prediction method is developed for the supercapacitor. The online prediction method adopts a supercapacitor model that describes both the ohmic leakage and charge redistribution phenomena and uses online model updating to more accurately capture the supercapacitor behavior and estimate the stored energy.

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Cited By

Ruppel ESurbatovich MDesai HMaeng KLucia BHardavellas NCampanoni SGrot BKarpuzcu U(2022)An Architectural Charge Management Interface for Energy-Harvesting SystemsProceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture10.1109/MICRO56248.2022.00034(318-335)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1109/MICRO56248.2022.00034

Index Terms

Self-aware Power Management for Maintaining Event Detection Probability of Supercapacitor-powered Cyber-physical Systems
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

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Published In

cover image ACM Transactions on Cyber-Physical Systems

ACM Transactions on Cyber-Physical Systems Volume 4, Issue 4

Special Issue on Self-Awareness in Resource Constrained CPS and Regular Papers

October 2020

293 pages

ISSN:2378-962X

EISSN:2378-9638

DOI:10.1145/3407233

Editor:
Tei-Wei Kuo
City University of Hong Kong and National Taiwan University, Taiwan

Issue’s Table of Contents

Copyright © 2020 ACM.

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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Association for Computing Machinery

New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 06 July 2020

Online AM: 07 May 2020

Accepted: 01 December 2019

Revised: 01 November 2019

Received: 01 November 2018

Published in TCPS Volume 4, Issue 4

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Cited By

Ruppel ESurbatovich MDesai HMaeng KLucia BHardavellas NCampanoni SGrot BKarpuzcu U(2022)An Architectural Charge Management Interface for Energy-Harvesting SystemsProceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture10.1109/MICRO56248.2022.00034(318-335)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1109/MICRO56248.2022.00034

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