Fast operation mode selection for highly efficient iot edge devices

F Samie, V Tsoutsouras, D Masouros… - … on Computer-Aided …, 2019 - ieeexplore.ieee.org
In the emerging paradigm of edge computing (EC) for Internet of Things (IoT), data
processing is pushed to the edge of the IoT network (eg, gateways and embedded IoT …

Metadata-Private Resource Allocation in Edge Computing Withstands Semi-Malicious Edge Nodes

Z Zhang, J Li, Y Li, Y He - Sensors, 2024 - mdpi.com
Edge computing provides higher computational power and lower transmission latency by
offloading tasks to nearby edge nodes with available computational resources to meet the …

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning

PK Yadav, JA Thomasson, R Hardin, SW Searcy… - Agriculture, 2023 - mdpi.com
Plastic shopping bags are often discarded as litter and can be carried away from roadsides
and become tangled on cotton plants in farm fields. This rubbish plastic can end up in the …

Bandwidth allocation and computation offloading for service specific IoT edge devices

M Al-Zihad, SA Akash, T Adhikary… - 2017 IEEE Region 10 …, 2017 - ieeexplore.ieee.org
As we witness the advent of Internet of Things (IoT) devices in the forms of connected
appliances, household devices and wearables, the augmented computation demands …

FUSE: A microservice approach to cross-domain federation using docker containers

T Goethals, S Kerkhove, L Van Hoye… - … Conference on Cloud …, 2019 - biblio.ugent.be
In crisis situations, it is important to be able to quickly gather information from various
sources to form a complete and accurate picture of the situation. However, the different …

The application of evolutionary, swarm and iterative based task offloading optimization for battery life extension in Wireless Sensor Networks

P González, G Mujica, J Portilla - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) devices has exponentially increased data
generation, placing substantial computational demands on resource-constrained sensor …

On-Device Deep Learning-based Multiple Behavior Detection using IMU Motion Sensors

DE Kim, ND Mai, DS Han - 2023 Fourteenth International …, 2023 - ieeexplore.ieee.org
This study proposes a system for monitoring the behavior of patients using an on-device
deep learning-based inertial measurement unit (IMU) motion sensor. The wearable device …

Admission control policies in fog computing using extensive form game

G Baranwal, DP Vidyarthi - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Due to emergence of Internet of Things (IoT), fog computing is gaining momentum in the IT
industry. The fog nodes are owned by the fog service providers (FSPs) and usually are not …

Data-driven edge computing resource scheduling for protest crowds incident management

J Patman, P Lovett, A Banning, A Barnert… - 2018 IEEE 17th …, 2018 - ieeexplore.ieee.org
Computation offloading has been shown to be a viable solution for addressing the
challenges of processing compute-intensive workloads between low-power devices and …

Fog offloading: Review, research opportunity and challenges

AK Jha, M Patel, T Pawar - 2019 International conference on …, 2019 - ieeexplore.ieee.org
Fog computing is growing from its infancy to become the new age technology transition, it
has not only aligned with the principle of cloud computing but it also supports and works in …