Computation offloading in Edge Computing environments using Artificial Intelligence techniques
Edge Computing (EC) is a recent architectural paradigm that brings computation close to
end-users with the aim of reducing latency and bandwidth bottlenecks, which 5G …
end-users with the aim of reducing latency and bandwidth bottlenecks, which 5G …
Tornado: Enabling blockchain in heterogeneous Internet of Things through a space-structured approach
With the widespread applications of the Internet of Things (IoT), eg, smart city, business,
healthcare, etc., the security of data and devices becomes a major concern. Although …
healthcare, etc., the security of data and devices becomes a major concern. Although …
Computation offloading and tasks scheduling for the internet of vehicles in edge computing: A deep reinforcement learning-based pointer network approach
X Ju, S Su, C Xu, H Wang - Computer Networks, 2023 - Elsevier
Abstract In the Internet of Vehicles, vehicles can offload computation tasks to edge servers
for execution. So, execution delay of tasks and energy consumption of vehicles can be …
for execution. So, execution delay of tasks and energy consumption of vehicles can be …
Computation offloading and task scheduling for DNN-based applications in cloud-edge computing
Due to the high demands of deep neural network (DNN) based applications on
computational capability, it is hard for them to be directly run on mobile devices with limited …
computational capability, it is hard for them to be directly run on mobile devices with limited …
Joint computation offloading and coin loaning for blockchain-empowered mobile-edge computing
The blockchain-empowered mobile-edge computing (MEC) is a promising solution for
enhancing the computation capabilities of mobile equipments (MEs) to process computation …
enhancing the computation capabilities of mobile equipments (MEs) to process computation …
Energy-efficient offloading decision-making for mobile edge computing in vehicular networks
Driven by the explosion transmission and computation requirement in 5G vehicular
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …
Joint optimization of data offloading and resource allocation with renewable energy aware for IoT devices: A deep reinforcement learning approach
H Ke, J Wang, H Wang, Y Ge - IEEE Access, 2019 - ieeexplore.ieee.org
A large number of connected sensors and devices in Internet of Things (IoT) can generate
large amounts of computing data and increase massive energy consumption. Real-time …
large amounts of computing data and increase massive energy consumption. Real-time …
Mobility-aware computation offloading in MEC-based vehicular wireless networks
We study the mobility-aware computation offloading design for mobile edge computing
(MEC) based vehicular wireless networks which considers random mobility of the vehicle …
(MEC) based vehicular wireless networks which considers random mobility of the vehicle …
Deep reinforcement learning-based computation offloading and resource allocation in security-aware mobile edge computing
HC Ke, H Wang, HW Zhao, WJ Sun - Wireless Networks, 2021 - Springer
Owing to the insufficient processing ability of wireless devices (WDs), it is difficult for WDs to
process these data within the deadline associated with the quality of service requirements …
process these data within the deadline associated with the quality of service requirements …
A game theoretic scheme for collaborative vehicular task offloading in 5G HetNets
The 5G heterogeneous networks (HetNets) are capable of providing real-time computing
services for autonomous vehicles (AVs) by deploying edge computing devices (ECDs) at …
services for autonomous vehicles (AVs) by deploying edge computing devices (ECDs) at …