Table 2.
Case studies, Fog Computing as an enabler.
| Ref. No | IIoT Application Domain | Case Study: Key Focus |
|---|---|---|
| [122] | smart city | Smart city solutions have been deployed in cities, such as Barcelona and Venice, to make further advancements in e-governance |
| [123] | smart traffic control and health monitoring | To increase flexibility in a fog computing in the context of Complex event processing (CEP), a case study is presented. The methodology, called “mechanism transitions”, is used to study how and where a query should be processed and how this decision affects the performance. |
| [124] | smart city | Fog Computing Architecture Network (FOCAN) is presented to give low-latency and energy-efficient solution for smart city applications. It manages different application’s requirements by categorizing the traffic type and its flow. |
| [125] | city, factory, building, home | Using an open-source platform Distributed Node-RED (DNR), authors have presented how applications can be decomposed and deployed. They build prototype for scalability and dynamic nature solutions using the network simulator Omnet++. |
| [126] | smart pipeline monitoring | A sequential machine learning algorithm on every layer of fog-cloud architecture, sensors and Markov model are used to monitor, control and detection of hazardous events of a pipeline system. A working prototype was constructed to observe 12 distinct events. This prototype could be used for future city-wide pipeline safety measurements |
| [127] | smart transportation | The extended policy management to support secure travel to user’s is presented by the authors. Four different route guiding scenarios are explained; namely depending on traffic condition, emergency connected vehicles (ECV), connected vehicle (CV) and probable collision detection. |
| [128] | smart transportation | Smart transportation framework is proposed for Vehicle to Vehicle (V2V) communication by the authors, on basis of the current traffic situation (road and vehicle’s condition, capacity). |
| [129] | big data | Case study named as “Streamcloud” is presented to provide real-time energy-efficient solution. |
| [130] | healthcare | Personalized missing data resilient decision-making approach is validated on a real human subject trial on maternity health. Data missing in critical applications is a very crucial challenge, that needs to be solved. |
| [131] | healthcare | Table 2 in the mentioned paper gives some projects for healthcare monitoring supported by fog computing, cloud computing, and IoT. |
| [132] | healthcare | A demo test-bed is developed on edge-IoT architecture for e-healthcare applications. Proposed EH-IoT gives better results towards bandwidth and latency requirements. The article also presents the benefits leveraging from IoT and edge computing from an industrial perspective. |
| [133] | cardiac diseases | A case study using Electrocardiogram (ECG) feature is discussed in the article to monitor health in real time. |