Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
A deep-reinforcement-learning-based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Multi-user computation offloading and resource allocation algorithm in a vehicular edge network
X Liu, J Zheng, M Zhang, Y Li, R Wang, Y He - Sensors, 2024 - mdpi.com
In Vehicular Edge Computing Network (VECN) scenarios, the mobility of vehicles causes the
uncertainty of channel state information, which makes it difficult to guarantee the Quality of …
uncertainty of channel state information, which makes it difficult to guarantee the Quality of …
Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning
Driven by the construction of smart cities, networks and communication technologies are
gradually infiltrating into the Internet of Things (IoT) applications in urban infrastructure, such …
gradually infiltrating into the Internet of Things (IoT) applications in urban infrastructure, such …
Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information
Offloading tasks from edge devices to the cloud is an important method to enhance the
performance of the edge device. With the help of EH (Energy Harvesting) technology, the …
performance of the edge device. With the help of EH (Energy Harvesting) technology, the …
Intelligent vehicle computation offloading in vehicular ad hoc networks: A multi-agent LSTM approach with deep reinforcement learning
D Sun, Y Chen, H Li - Mathematics, 2024 - mdpi.com
As distributed computing evolves, edge computing has become increasingly important. It
decentralizes resources like computation, storage, and bandwidth, making them more …
decentralizes resources like computation, storage, and bandwidth, making them more …
[HTML][HTML] Intelligent data-enabled task offloading for vehicular fog computing
Fog computing is a key component of future intelligent transportation systems (ITSs) that can
support the high computation and large storage requirements needed for autonomous …
support the high computation and large storage requirements needed for autonomous …
A metaheuristic-based task offloading scheme with a trade-off between delay and resource utilization in IoT platform
Fog computing has emerged as the most popular technology for processing delay-sensitive
tasks in the Internet of Things platform. However, offloading tasks to suitable fog nodes (FNs) …
tasks in the Internet of Things platform. However, offloading tasks to suitable fog nodes (FNs) …
A multi-aerial base station assisted joint computation offloading algorithm based on D3QN in edge VANETs
With the rapid development of Internet of Vehicle technology, vehicular edge computing is
gradually becoming a key technology for task offloading and resource scheduling. However …
gradually becoming a key technology for task offloading and resource scheduling. However …
Computation power maximization for mobile edge computing enabled dense network
Z Wan, X Dong - Computer Networks, 2023 - Elsevier
High-density connection is among the natures of next-generation wireless communication
systems. Meanwhile, various computation-intensive smart applications are becoming …
systems. Meanwhile, various computation-intensive smart applications are becoming …