Learning Automata-Based Data Aggregation Tree Construction Framework for Cyber-Physical Systems

@article{Ren2018LearningAD,
  title={Learning Automata-Based Data Aggregation Tree Construction Framework for Cyber-Physical Systems},
  author={Jiankang Ren and Guowei Wu and Xiaoyan Su and Guanghai Cui and Feng Xia and Mohammad S. Obaidat},
  journal={IEEE Systems Journal},
  year={2018},
  volume={12},
  pages={1467-1479}
}
A high degree of energy efficiency and real-time for data transmission is required in cyber-physical systems (CPSs). Data aggregation is an efficient technique to conserve energy by reducing the amount of transmission data. To optimize real-time communication under constraints of power consumption and data aggregation performance of each node in CPS, this paper presents a learning automata (LA)-based degree-bounded bottleneck data aggregation tree (DBBDAT) construction framework to minimize the… CONTINUE READING
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Introduction to Embedded Systems: A Cyber-Physical Systems Approach [Online]. Available: http:// LeeSeshia.org

  • E. Lee, S. Seshia
  • IEEE SYSTEMS JOURNAL,
  • 2011
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