Fog computing in internet of things: Practical applications and future directions

2019 ◽  
Vol 12 (5) ◽  
pp. 1236-1262 ◽  
Author(s):  
Rida Zojaj Naeem ◽  
Saman Bashir ◽  
Muhammad Faisal Amjad ◽  
Haider Abbas ◽  
Hammad Afzal
Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3715
Author(s):  
Ioan Ungurean ◽  
Nicoleta Cristina Gaitan

In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real-time compiling. A starting point may be the reference fog architecture released by the OpenFog Consortium (now part of the Industrial Internet Consortium), but it has a high abstraction level and does not define how to integrate the fieldbuses and devices into the fog system. Therefore, the biggest challenges in the design and implementation of fog solutions for IIoT is the diversity of fieldbuses and devices used in the industrial field and ensuring compliance with all constraints in terms of real-time compiling, low latency, and predictability. Thus, this paper proposes a solution for a fog node that addresses these issues and integrates industrial fieldbuses. For practical implementation, there are specialized systems on chips (SoCs) that provides support for real-time communication with the fieldbuses through specialized coprocessors and peripherals. In this paper, we describe the implementation of the fog node on a system based on Xilinx Zynq UltraScale+ MPSoC ZU3EG A484 SoC.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ian Zhou ◽  
Imran Makhdoom ◽  
Negin Shariati ◽  
Muhammad Ahmad Raza ◽  
Rasool Keshavarz ◽  
...  

2021 ◽  
Vol 13 (6) ◽  
pp. 1204
Author(s):  
Nadia Delavarpour ◽  
Cengiz Koparan ◽  
John Nowatzki ◽  
Sreekala Bajwa ◽  
Xin Sun

The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs) platforms have enabled many practical applications in Precision Agriculture (PA) over the past decade. These PA tools offer capabilities that increase agricultural productivity and inputs’ efficiency and minimize operational costs simultaneously. However, these platforms also have some constraints that limit the application of UAVs in agricultural operations. The constraints include limitations in providing imagery of adequate spatial and temporal resolutions, dependency on weather conditions, and geometric and radiometric correction requirements. In this paper, a practical guide on technical characterizations of common types of UAVs used in PA is presented. This paper helps select the most suitable UAVs and on-board sensors for different agricultural operations by considering all the possible constraints. Over a hundred research studies were reviewed on UAVs applications in PA and practical challenges in monitoring and mapping field crops. We concluded by providing suggestions and future directions to overcome challenges in optimizing operational proficiency.


Sign in / Sign up

Export Citation Format

Share Document