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Joint Sleep Scheduling and Mode Assignment in Wireless Cyber-Physical Systems

  • Chun Jason Xue*
  • , Guoliang Xing
  • , Zhaohui Yuan*
  • , Zili Shao
  • , Edwin Sha
  • *Corresponding author for this work
  • City University of Hong Kong
  • Michigan State University
  • Hong Kong Polytechnic University
  • University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recent years have witnessed the deployment of wireless Cyber-Physical Systems(CPS) for a variety of important applications. A key requirement for wireless CPS systems is to sustain a long lifetime on limited power supplies. At the same time, due to the criticality of CPS applications, many computation and communication tasks must be finished within timing constraints to avoid undesirable or even catastrophic consequences. While a lot of work has been done to manage energy consumption on single processor real-time systems, little work has been done in network-wide energy consumption management for real-time applications. Existing work on network-wide energy minimization assumes that the underlying network is always connected, which is not consistent with the practice in which wireless nodes often turn off their network interfaces in a sleep schedule to reduce energy consumption. This paper jointly considers the radio sleep scheduling of wireless nodes and the execution modes of processors. Based on wireless network topologies, different schemes are proposed to minimize energy consumption while guaranteeing the timing and precedence constraints. When the precedence graph is a tree, optimal result on energy management is achieved. The experiments show that our approach significantly reduces total energy consumption compared with the previous work.

Original languageEnglish
Title of host publicationProceedings - 29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Print)9780769536606
DOIs
StatePublished - 2009
Externally publishedYes
Event29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2009 - Montreal, QC, Canada
Duration: 22 Jun 2009 → 26 Jun 2009

Publication series

NameProceedings - International Conference on Distributed Computing Systems
ISSN (Print)1063-6927
ISSN (Electronic)2575-8411

Conference

Conference29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2009
Country/TerritoryCanada
CityMontreal, QC
Period22/06/09 → 26/06/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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