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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
  • *此作品的通讯作者
  • City University of Hong Kong
  • Michigan State University
  • Hong Kong Polytechnic University
  • University of Texas at Dallas

科研成果: 会议稿件论文同行评审

摘要

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.

源语言英语
1-6
页数6
DOI
出版状态已出版 - 2009
已对外发布
活动2009 29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS, 09 - Montreal, QC, 加拿大
期限: 22 6月 200926 6月 2009

会议

会议2009 29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS, 09
国家/地区加拿大
Montreal, QC
时期22/06/0926/06/09

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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