PARSECS: A Predictable Data Communication System for Smart Sensors and Hard Real-Time Applications

Micea, Mihai V.; Cârstoiu, Gabriel; Ungurean, Lucian; Chiciudean, D.; Creţu, Vladimir; Groza, Voicu

doi:10.1109/tim.2010.2046363

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…The Fixed Execution Non-Preemptive (FENP) algorithm [ 2 ] has been designed to provide maximum predictability for the execution in a high-priority, non-preemptive context, of periodic tasks with the highest criticality. It has been implemented on the HARETICK kernel [ 27 ] and used in various real-time signal acquisition, processing and data communication applications which require perfectly synchronized interactions with signals [ 28 , 29 ].…”

Section: H 2 Rts: the Hybrid Hard Real-time Schmentioning

confidence: 99%

Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks

Micea

Stangaciu

et al. 2017

Sensors

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Sensor networks become increasingly a key technology for complex control applications. Their potential use in safety- and time-critical domains has raised the need for task scheduling mechanisms specially adapted to sensor node specific requirements, often materialized in predictable jitter-less execution of tasks characterized by different criticality levels. This paper offers an efficient scheduling solution, named Hybrid Hard Real-Time Scheduling (H2RTS), which combines a static, clock driven method with a dynamic, event driven scheduling technique, in order to provide high execution predictability, while keeping a high node Central Processing Unit (CPU) utilization factor. From the detailed, integrated schedulability analysis of the H2RTS, a set of sufficiency tests are introduced and demonstrated based on the processor demand and linear upper bound metrics. The performance and correct behavior of the proposed hybrid scheduling technique have been extensively evaluated and validated both on a simulator and on a sensor mote equipped with ARM7 microcontroller.

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Section: H 2 Rts: the Hybrid Hard Real-time Schmentioning

confidence: 99%

Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks

Micea

Stangaciu

et al. 2017

Sensors

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show abstract

“…Therefore, the study for detecting deteriorated devices, long cyclic life and optimal charging process are requested. [2][3][4][5] Besides, the information for capacity loss and accelerated battery ageing or even possible battery damage are needed for the users. [6][7][8][9] Normally, the above information may be provided by the manufactory.…”

Section: Introductionmentioning

confidence: 99%

Cell quality measurement using cloud computing in case of NiCd/NiMH battery study

Lin

Wei

Chen

2020

Advanced Composites Letters

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Currently, 3.6 V 700 mAh NiCd/NiMH battery is the most popular one used in emergency lights or other devices. It is well known that the state of health is related to the battery internal resistance and charging/discharging characteristics. However, the information needed may not be unveiled sufficiently from the manufactory although some certain specifications are provided. To provide users more accurate information, this system proposes an online battery quality measurement system based on two-pulse approach for internal resistance estimation along with long-term charging/discharging life cycle test. The measurement tasks are carried out using the microprocessor that connects with the computer via universal serial bus. Through the data acquisition system, every measured data from the microprocessor can be immediately transmitted to the data server via transmission control protocol/internet protocol. Accordingly, all testing results can be viewed online from the website, and their history record can be also tracked in the database. The experimental results verify that the proposed scheme can perform the quality measurement effectively and accurately.

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PARSECS_RT: A real-time PARSECS-based communication protocol stack for critical sensing applications

Stangaciu,

Curiac

et al. 2024

Internet of Things

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PARSECS: A Predictable Data Communication System for Smart Sensors and Hard Real-Time Applications

Cited by 9 publications

References 17 publications

Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks

Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks

Cell quality measurement using cloud computing in case of NiCd/NiMH battery study

PARSECS_RT: A real-time PARSECS-based communication protocol stack for critical sensing applications

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