Online adaptation policy design for grid sensor networks with reconfigurable embedded nodes

Subramanian, Vijay; Gilberti,; Doboli,

doi:10.1109/date.2009.5090861

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Cyber-physical systems (CPS) are emerging as an important concept for many modern, distributed control applications, like intelligent traffic management, smart grid, infrastructure management, manufacturing, and many more [3], [1], [2]. This increasing popularity of CPS is due to the reason that sensing and electronic devices are small and cheap, and hence can be deployed in large numbers.…”

Section: Introductionmentioning

confidence: 99%

UML support for optimizing the goals of distributed control in traffic management applications

Magureanu

Gavrilescu

Pescaru

et al. 2010

2010 IEEE International Workshop on Robotic and Sensors Environments

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Developing dependable Cyber-physical systems that operate over large physical areas, like modern traffic management systems, is currently a main challenge. This is because most of the model parameters used for optimized decision making must be identified, collected, and transmitted in realtime over distributed areas. This paper discusses the main services of the architecture supporting real-time, distributed control for traffic management. UML and MARTE descriptions for some of the main services are also discussed.

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Section: Introductionmentioning

confidence: 99%

UML support for optimizing the goals of distributed control in traffic management applications

Magureanu

Gavrilescu

Pescaru

et al. 2010

2010 IEEE International Workshop on Robotic and Sensors Environments

Self Cite

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“…Three2 Algorithm 222 NP-NM, − drug delivery, reconfiguration [44] previously. The symbol '2' is used to denote that it can support all the possibilities in a category.…”

Section: Algorithmmentioning

confidence: 99%