A survey on in-network computing: Programmable data plane and technology specific applications
S Kianpisheh, T Taleb - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
In comparison with cloud computing, edge computing offers processing at locations closer to
end devices and reduces the user experienced latency. The new recent paradigm of in …
end devices and reduces the user experienced latency. The new recent paradigm of in …
A first look at deep learning apps on smartphones
To bridge the knowledge gap between research and practice, we present the first empirical
study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit …
study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit …
A multi-user cost-efficient crowd-assisted VR content delivery solution in 5G-and-beyond heterogeneous networks
The latest evolution of wireless communications enables users to access rich Virtual Reality
(VR) services via the Internet, including while on the move. However, providing a premium …
(VR) services via the Internet, including while on the move. However, providing a premium …
Deepwear: Adaptive local offloading for on-wearable deep learning
Due to their on-body and ubiquitous nature, wearables can generate a wide range of unique
sensor data creating countless opportunities for deep learning tasks. We propose …
sensor data creating countless opportunities for deep learning tasks. We propose …
Deep reinforcement learning based resource management in UAV-assisted IoT networks
YY Munaye, RT Juang, HP Lin, GB Tarekegn, DB Lin - Applied Sciences, 2021 - mdpi.com
The resource management in wireless networks with massive Internet of Things (IoT) users
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
Self-localization via circular bluetooth 5.1 antenna array receiver
Future telecommunications aim to be ubiquitous and efficient, as widely deployed
connectivity will allow for a variety of edge/fog based services. Challenges are numerous …
connectivity will allow for a variety of edge/fog based services. Challenges are numerous …
A many-objective evolutionary algorithm for solving computation offloading problems under uncertain communication conditions
Q Li, Z Shi, Z Xue, Z Cui, Y Xu - Computer Communications, 2024 - Elsevier
Computation offloading is a critically important technology in the field of edge computing,
enabling improved conditions for task computation. Existing studies on computation …
enabling improved conditions for task computation. Existing studies on computation …
{LinkLab} 2.0: A multi-tenant programmable {IoT} testbed for experimentation with {Edge-Cloud} integration
In this paper, we present LinkLab 2.0, a completely programmable and controllable IoT
testbed with the support of edge devices and cloud infrastructures. To be more specific …
testbed with the support of edge devices and cloud infrastructures. To be more specific …
Resource-constrained FPGA implementation of YOLOv2
Progress is being made to deploy convolutional neural networks (CNNs) into the Internet of
Things (IoT) edge devices for handling image analysis tasks locally. These tasks require low …
Things (IoT) edge devices for handling image analysis tasks locally. These tasks require low …
CORE-lens: simultaneous communication and object recognition with disentangled-GAN cameras
Optical camera communication (OCC) enabled by LED and embedded cameras has
attracted extensive attention, thanks to its rich spectrum availability and ready deployability …
attracted extensive attention, thanks to its rich spectrum availability and ready deployability …