Field Programmable Gate Array Applications—A Scientometric Review

Ruiz-Rosero, Juan; Ramírez-González, Gustavo; Khanna, Rahul

doi:10.3390/computation7040063

Cited by 54 publications

(25 citation statements)

References 1,329 publications

(1,036 reference statements)

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“…The three blocks mentioned above occupy 47 percent of the available logic units in the DE0-Nano FPGA, barely sufficient resources for implementation [ 65 ]. In Table 3 , we describe the resources available and used by the three modules.…”

Section: Results and Evaluationmentioning

confidence: 99%

Blockchain-IoT Sensor (BIoTS): A Solution to IoT-Ecosystems Security Issues

González-Amarillo

Cárdenas-García

Mendoza-Moreno

et al. 2021

Sensors

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Sensor devices that act in the IoT architecture perception layer are characterized by low data processing and storage capacity. These reduced capabilities make the system ubiquitous and lightweight, but considerably reduce its security. The IoT-based Food Traceability Systems (FTS), aimed at ensuring food safety and quality, serve as a motivating scenario for BIoTS development and deployment; therefore, security challenges and gaps related with data integrity are analyzed from this perspective. This paper proposes the BIoTS hardware design that contains some modules built-in VHDL (SHA-256, PoW, and SD-Memory) and other peripheral electronic devices to provide capabilities to the perception layer by implementing the blockchain architecture’s security requirements in an IoT device. The proposed hardware is implemented on FPGA Altera DE0-Nano. BIoTS can participate as a miner in the blockchain network through Smart Contracts and solve security issues related to data integrity and data traceability in an Blockchain-IoT system. Blockchain algorithms implemented in IoT hardware opens a path to IoT devices’ security and ensures participation in data validation inside a food certification process.

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Section: Results and Evaluationmentioning

confidence: 99%

Blockchain-IoT Sensor (BIoTS): A Solution to IoT-Ecosystems Security Issues

González-Amarillo

Cárdenas-García

Mendoza-Moreno

et al. 2021

Sensors

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“…Table 16 summarizes the documents related to parallel simulation applications for traffic and transit systems and also for Masivo PSC. FPGA applications include urban traffic simulation [97], with one document in which the authors in 2005 developed a microscopic simulation of road traffic. They simulated the Portland road network with 124,000 road segments and 100,000 intersections, achieving a speed-up factor of 4.5 [98].…”

Section: Discussionmentioning

confidence: 99%

Masivo: Parallel Simulation Model Based on OpenCL for Massive Public Transportation Systems’ Routes

2019

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There is a large number of tools for the simulation of traffic and routes in public transport systems. These use different simulation models (macroscopic, microscopic, and mesoscopic). Unfortunately, these simulation tools are limited when simulating a complete public transport system, which includes all its buses and routes (up to 270 for the London Underground). The processing times for these type of simulations increase in an unmanageable way since all the relevant variables that are required to simulate consistently and reliably the system behavior must be included. In this paper, we present a new simulation model for public transport routes’ simulation called Masivo. It runs the public transport stops’ operations in OpenCL work items concurrently, using a multi-core high performance platform. The performance results of Masivo show a speed-up factor of 10.2 compared with the simulator model running with one compute unit and a speed-up factor of 278 times faster than the validation simulator. The real-time factor achieved was 3050 times faster than the 10 h simulated duration, for a public transport system of 300 stops, 2400 buses, and 456,997 passengers.

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“…Then filter publications by type of document, combine the WoS and Scopus data set based on a correlation table of field labels, find and eliminate duplicate documents, extract the H-index for analyzed topics, search for wildcard topics, find trending topics and make different graphs. These will allow different visualizations (timeline, evolution, bar, bar trends and word cloud), find principal authors, institutions or countries based on the authors of the first document or all authors of the document, generate report table and short preprocessing graph [29,30].…”

Section: Scientopymentioning

confidence: 99%

Multilayer validation system for the automation of data in a WSN network with IOT devices

Paz-Fernandez¹

2021

ing. Solidar

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Introduction: Article resulting from the research "Multilevel validation system with an emphasis on data transmission in a Gateway for the IoT," supported by the Research Line in Internet Applications of the University of Cauca during 2020. Problem: Bridges between wireless sensor networks (WSN) and the Internet are necessary for the for the operation of IoT devices. However, these networks are made up of weak links that can generate packet loss. Objective: present an alternative to improve the data transmission validation process given a frame implemented in a previously developed WSN-IoT system. Methodology: Scientometric review in the WoS and Scopus databases on concepts related to Industry 4.0 (data from 2015 to 2019), IoT and WSN (data from 1990 to 2019), and algorithm generation based on Scrum and test-based development (TDD). Results: A validation application that captures, analyzes frames, and compares the values of the monitored variables in each layer of the implemented model, and ultimately reports the errors detected in the data transmission. Conclusion: with the completion of this investigation, the data transmission validation process of the WSN-IoT system was improved, focused on logistics and monitoring, automating the process. Originality: An alternative to validate the correct transmission of data in a WSN-IoT system is achieved through this research and shown for the first time on trending topics such as industry 4.0, the industrial Internet of things, the supply chain, logistics, and traceability. Limitations: little research in the area of validation, few and delicate hardware devices, in addition to a high dependence on networks to monitor the performance of the designed application.

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Field Programmable Gate Array Applications—A Scientometric Review

Cited by 54 publications

References 1,329 publications

Blockchain-IoT Sensor (BIoTS): A Solution to IoT-Ecosystems Security Issues

Blockchain-IoT Sensor (BIoTS): A Solution to IoT-Ecosystems Security Issues

Masivo: Parallel Simulation Model Based on OpenCL for Massive Public Transportation Systems’ Routes

Multilayer validation system for the automation of data in a WSN network with IOT devices

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