The Vital Role of Fog Computing in Internet of Things

Puri, Vikram; Tromp, Jolanda G.; Le, Chung Van; Nguyễn, Như Gia; Le, Dac‐Nhuong

doi:10.1002/9781119593171.ch10

Cited by 1 publication

(4 citation statements)

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“…UAV‐Fog offers the development and deployment of fog functionality at remote or difficult locations to help complex IoT applications successfully. When required, a UAV designed with fog computing functionality flies to a particular location and remains there to support the local IoT applications 197,198 . The various other applications cover in IoT with the use of UAVs and fog together are discussed as follows:…”

Section: Applications Opportunities and Deployment Challengesmentioning

confidence: 99%

“…Due to fog computing, security becomes a major challenge because the resources are very close to end‐users, which makes it insecure 215 . In emergencies, size, weight, and power (SWAP) constraints could bound the communication, which further creates a problem sustaining a long network 197 . The accurate positioning of the UAVs at a particular height in the mobile environment is another challenge possibly solved by various algorithms like neural and fuzzy cost function, dynamic allocation algorithm, and mapping 216,217 .…”

Section: Applications Opportunities and Deployment Challengesmentioning

confidence: 99%

“…When required, a UAV designed with fog computing functionality flies to a particular location and remains there to support the local IoT applications. 197,198 The various other applications cover in IoT with the use of UAVs and fog together are discussed as follows:…”

Section: Iotmentioning

confidence: 99%

“…215 In emergencies, size, weight, and power (SWAP) constraints could bound the communication, which further creates a problem sustaining a long network. 197 The accurate positioning of the UAVs at a particular height in the mobile environment is another challenge possibly solved by various algorithms like neural and fuzzy cost function, dynamic allocation algorithm, and mapping. 216,217 Further, discovery and synchronization become one more challenge when various applications are operating on systems that involve some accepted central point (e.g., setting up an upstream backup when our storage application includes too few peers).…”

Section: Disaster or Crisis Managementmentioning

confidence: 99%

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Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Gupta

2022

Int J Communication

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Summary A drone or unmanned aerial vehicles (UAVs) is becoming a trending area for researchers worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone, disaster management, healthcare sector, smart cities, Internet of Things (IoT), urban air mobility, and many more. In contrast, UAV's limited computational capability and low‐energy sources pose significant challenges for real‐time data processing, storage, networking, and security that are critical in emergencies such as floods, earthquakes, and cyclones. UAVs are rapidly used to satisfy user requirements as well as services. As the demand for UAVs aided heterogeneous wireless networks increases in critical emergencies, fog computing serves several benefits to fulfill users' demands in terms of low latency, support, data storage, mobility, availability, scalability, and so on. This study aims to present a comprehensive study with their technical aspects for understanding fog computing, security issues, privacy concerns, and risks, along with its solutions. This paper suggests the collaboration of UAV‐Fog architecture based on the four‐tier network consisting of smart things, local UAVs, UAV‐Fog, and cloud server, to control UAV's data and also described some of the security issues faced by this cloud infrastructure. Further, this research article also sheds new light on some scenarios of UAV‐Fog for such deployments, applications, opportunities, challenges, and their major security threats and their countermeasures. Afterward, we design taxonomy of the collaboration of UAV‐Fog with their respective approaches.

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Section: Applications Opportunities and Deployment Challengesmentioning

confidence: 99%