HDAA: High-Speed Data Acquisition Algorithm of IoT

Qiu, Zhijin; Qi, Shengwen; Zhou, Zhengyu; Hu, Taotao; Zou, Jing; Wang, Dongming

doi:10.1007/978-981-13-7986-4_43

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…The employed sensor nodes are used to capture the relevant data from the environment, and later, these data are being used for further processing. The data are acquired using highspeed data acquisition (HSDA) [19]. The data acquired from sensor nodes are converted to digital format using analogto-digital converters (ADCs).…”

Section: Proposed System Architecture For Iot Applicationsmentioning

confidence: 99%

“…These nodes in the data transmission work at the different operating frequencies and are further dependent on the application they are employed in. Here, the IoT fog computing architecture is adopted, with three subsets (1) IoT nodes (2) the cloud (3) Gateway layer (WAN-GSM, UMTS, MQTT, LTE, LTE-A; WiFi, Ethernet, Gateway control) [19][20][21]. The IoT node constitutes a group of sensors data providers that can be designated as a central platform to perform IoT operations.…”

Section: Introductionmentioning

confidence: 99%

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FPGA implementation of r-FIFO-based high-speed data acquisition IOT architecture model

Gupta

Sharma²,

Chawla

2020

SN Appl. Sci.

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To enhance the utilization efficiency of Internet of Things (IoT) and cyber-physical system technologies, more collaboration in data transmission is recommended. These applications receive data from multiple sensors; hence, addition of efficient data acquisition system becomes mandatory. Past research works report use of data sharing among the tasks; however, this is only possible as long as the data meets the time-sensitive requirements of the tasks. To have an efficient communication between the different nodes of the IoT applications, this research work proposes use of reconfigurable first-in, first-out (r-FIFO) design to acquire data. This would not only reduce total sensing time but also the energy consumption, which is a conspicuous concernment in IoT systems for the offline scenarios. This paper first provides an optimal algorithm for FIFO tasks in the offline case, and later the r-FIFO architecture is synthesized on the FPGA board using ZYBO (zynq-7000). Further, the design is being implemented in SCL 180 nm CMOS ASIC technology. Performance measurement is performed by evaluating the frequency, total power, and the energy per bit of the design.

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Section: Proposed System Architecture For Iot Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

FPGA implementation of r-FIFO-based high-speed data acquisition IOT architecture model

Gupta

Sharma²,

Chawla

2020

SN Appl. Sci.

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“…Kovac [10] propose the use of virtual instrument technology and GPIB interface to achieve the acquisition of sensor data, which increases the convenience of access to the sensing instruments to a certain extent. Qiu et al [11] propose a high performance data acquisition algorithm based on the analysis of dynamic delay characteristics of data acquisition. But this algorithm is only suitable for specific sensing instruments, and does not apply to multiple data sources.…”

Section: Introductionmentioning

confidence: 99%

HDAA: High-speed Data Acquisition Algorithm of IoT

Qiu¹,

Qi²,

Zhou³

et al. 2018

EasyChair Preprints

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As the ‘Industry 4.0’ has been proposed, the Internet of Things (IoT) has been widely used in more and more fields, and the higher demand for data acquisition efficiency. Unfortunately, the format, type, and access methods of data sources in different areas are diverse, making low efficiency of data acquisition. To address this issue, based on the data acquisition middleware of IoT (DAQ-Middleware), a novel High-speed Data Acquisition Algorithm of IoT (HDAA) is proposed. The algorithm includes parallel data acquisition algorithm and acquisition efficiency optimization heuristic method. According to the characteristics of different data sources and data interfaces, the mapping relationship is established between data sources and data interfaces, which improves the data acquisition efficiency of IoT. In the practical application and simulation environment, the data acquisition efficiency of HDAA is analyzed and compared with other algorithms. The results show that HDAA greatly improves the efficiency of data acquisition. In particular, the advantage of the algorithm is more obvious in the case of more data sources and less data interfaces.

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HDAA: High-Speed Data Acquisition Algorithm of IoT

Cited by 2 publications

References 11 publications

FPGA implementation of r-FIFO-based high-speed data acquisition IOT architecture model

FPGA implementation of r-FIFO-based high-speed data acquisition IOT architecture model

HDAA: High-speed Data Acquisition Algorithm of IoT

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