Evaluation of the Employment of UAVs as Fog Nodes

Silva, Rodrigo A. C. da; Fonseca, Nelson Luís Saldanha da; Boutaba, Raouf

doi:10.1109/mwc.101.2100018

Cited by 12 publications

(13 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, in our previous work [1], the extent to which fog nodes on the ground can be replaced by rotary-wing UAVs was explored and a solution to the fog node location problem was proposed which considers both fixed and UAV nodes. The work in [1] did not, however, consider the variable quality of transmission between the UAVs and ground nodes. Although these solutions studied different aspects of aerial fog computing [1], [6], [7], they did not consider the employment of fixed-wing UAVs.…”

Section: Uavs On the Network Edgementioning

confidence: 99%

“…The work in [1] did not, however, consider the variable quality of transmission between the UAVs and ground nodes. Although these solutions studied different aspects of aerial fog computing [1], [6], [7], they did not consider the employment of fixed-wing UAVs.…”

Section: Uavs On the Network Edgementioning

confidence: 99%

“…Fog nodes serving locations with high user density may require powerful resources to deal with peaks of user requests, although the resources may remain underloaded most of the time. One way of coping with load variability while maintaining efficient resource utilization is combining fixed and mobile fog nodes [1]. The fixed nodes are constantly connected to energy supplies and offer easy management, while the mobile nodes complement the fixed node resources by moving either to overloaded locations or those with no fog node.…”

Section: Introductionmentioning

confidence: 99%

“…Unmanned aerial vehicles (UAVs) are highly suitable for hosting fog nodes since they can be equipped with both processing and networking resources; this makes it possible to make fog computing capability available to end users on demand [1]- [3]. Moreover, UAVs can be operated remotely and even autonomously.…”

Section: Introductionmentioning

confidence: 99%

“…Previous works have proposed the employment of fog nodes deployed on rotary-wing UAVs [1], [6], [7], which can be maintained steady in the air and quickly land on limited spaces. However, their energy consumption is high, which limits the operational time.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Design of aerial fog computing with fixed-wing UAVs

Silva¹,

Fonseca²

2022

Preprint

View full text Add to dashboard Cite

One challenge in the deployment of a fog computing infrastructure is the support of demands which are variable in time and space as this can temporarily overload fog nodes. Mobile fog nodes can be promptly dispatched to support dynamic demands, helping to cope with overloaded terrestrial infrastructure. Specifically, unmanned aerial vehicles (UAVs) can be used as mobile fog nodes since they benefit from autonomous operation and maneuverability. However, UAVs are typically battery-constrained and can operate only for a limited time. This paper investigates how fixed-wing UAVs can fulfill the role of fog nodes. These UAVs have different aerodynamics and consume less energy than do rotary-wing UAVs. This paper proposes the Spatio-Temporal UAV Fog Node Location algorithm to determine the position of fog nodes mounted on UAVs.<div><br></div><div>This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.<br></div>

show abstract

Section: Uavs On the Network Edgementioning

confidence: 99%

Section: Uavs On the Network Edgementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Design of aerial fog computing with fixed-wing UAVs

Silva¹,

Fonseca²

2022

Preprint

View full text Add to dashboard Cite

show abstract

A survey on green unmanned aerial vehicles‐based fog computing: Challenges and future perspective

Gupta

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

In the area of unmanned aerial vehicles (UAVs) and the Internet of Things (IoT), enormous technological advancement has transformed the way we choose to live. UAVs link everything in the modern world, and it is an attractive area for academia to focus on. UAVs are proven to be a boon for the whole world as it provides flying services in critical and medical emergencies. UAVs are futuristic technology that enriches human needs by providing numerous benefits or services to proceed toward the smart world. In UAV‐assisted traditional networks, multiple sensors and flying nodes consume a lot of energy resources, and Fifth Generation (5G)/Beyond 5G enabled devices to excrete high radiations, which may cause damage to our environment as well as our society. So, it is very important to maintain a balance between the environment and modern technologies for a better lifestyle. To maintain this, many steps need to be put further to reduce the energy consumption of nodes, consume fewer data resources, and encourage effective energy‐use techniques. Green UAV‐based fog computing is a promising solution to balance environmental issues and provide energy‐efficient data computation and aerial to ground network communication for building an intelligent world with improved Quality of Services (QoS). This article provides a comprehensive survey on green technologies and applications for UAV‐Fog. We also highlight research issues, current challenges, lessons learned, and the future direction of the UAV‐Fog network.

show abstract

Modeling the Green Cloud Continuum: integrating energy considerations into Cloud–Edge models

Patel,

Townend,

Singh

et al. 2024

Cluster Comput

View full text Add to dashboard Cite

The energy consumption of Cloud–Edge systems is becoming a critical concern economically, environmentally, and societally; some studies suggest data centers and networks will collectively consume 18% of global electrical power by 2030. New methods are needed to mitigate this consumption, e.g. energy-aware workload scheduling, improved usage of renewable energy sources, etc. These schemes need to understand the interaction between energy considerations and Cloud–Edge components. Model-based approaches are an effective way to do this; however, current theoretical Cloud–Edge models are limited, and few consider energy factors. This paper analyses all relevant models proposed between 2016 and 2023, discovers key omissions, and identifies the major energy considerations that need to be addressed for Green Cloud–Edge systems (including interaction with energy providers). We investigate how these can be integrated into existing and aggregated models, and conclude with the high-level architecture of our proposed solution to integrate energy and Cloud–Edge models together.

show abstract

Evaluation of the Employment of UAVs as Fog Nodes

Cited by 12 publications

References 13 publications

Design of aerial fog computing with fixed-wing UAVs

Design of aerial fog computing with fixed-wing UAVs

A survey on green unmanned aerial vehicles‐based fog computing: Challenges and future perspective

Modeling the Green Cloud Continuum: integrating energy considerations into Cloud–Edge models

Contact Info

Product

Resources

About