Mobile edge computing in space-air-ground integrated networks: Architectures, key technologies and challenges
Y Qiu, J Niu, X Zhu, K Zhu, Y Yao, B Ren… - Journal of Sensor and …, 2022 - mdpi.com
Space-air-ground integrated networks (SAGIN) provide seamless global coverage and cross-
domain interconnection for the ubiquitous users in heterogeneous networks, which greatly …
domain interconnection for the ubiquitous users in heterogeneous networks, which greatly …
Comprehensive Survey on Reinforcement Learning-Based Task Offloading Techniques in Aerial Edge Computing
Aerial edge computing (AEC) has emerged as a pivotal platform offering low-latency
computation services, seamless deployability, rapid operationality, and high maneuverability …
computation services, seamless deployability, rapid operationality, and high maneuverability …
Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach
MI Khaleel - Swarm and Evolutionary Computation, 2024 - Elsevier
This paper tackles the challenges of computation offloading in the cloud–edge paradigm.
Although many solutions exist for enhancing the server's computational and communication …
Although many solutions exist for enhancing the server's computational and communication …
Satellite-based ITS data offloading & computation in 6G networks: A cooperative multi-agent proximal policy optimization DRL with attention approach
The proliferation of intelligent transportation systems (ITS) has led to increasing demand for
diverse network applications. However, conventional terrestrial access networks (TANs) are …
diverse network applications. However, conventional terrestrial access networks (TANs) are …
A task offloading algorithm using multi-objective optimization under hybrid mode in mobile edge computing
H Hou, Z Chai, X Liu, Y Li, Y Zeng - Mobile Networks and Applications, 2023 - Springer
In mobile edge computing (MEC), edge clients have the capability to offload their computing
tasks to edge servers or other edge clients, aiming to reduce their energy consumption and …
tasks to edge servers or other edge clients, aiming to reduce their energy consumption and …
Vehicular Edge Computing in Satellite-Terrestrial Integrated Networks
Internet of Vehicles (IoV) supported by terrestrial networks can satisfy the necessities of
multiple computation-intensive applications. However, current terrestrial networks and …
multiple computation-intensive applications. However, current terrestrial networks and …
Multi-Task Computation Offloading Based On Evolutionary Multi-Objective Optimization in Industrial Internet of Things
ZY Chai, YJ Zhao, YL Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
The development of Industrial Internet of Things (IIoT) has completely changed traditional
manufacturing industry. Industrial equipments with limited resources often cannot meet the …
manufacturing industry. Industrial equipments with limited resources often cannot meet the …
Dependency-Aware Task Offloading and Resource Allocation for Maritime Ultrareliable Applications
Compared to terrestrial networks, maritime networks lack centralized infrastructure, and
tasks within maritime ultrareliable applications are interdependent, complicating task …
tasks within maritime ultrareliable applications are interdependent, complicating task …
A multi-objective optimization method for latency-sensitive applications in MEC-enabled smart campus using SMS-EMOA
Abstract The Internet of Things (IoT) enables all devices to sense, communicate, which has
given rise to the evolution of traditional educational planning. Benefiting from this revolution …
given rise to the evolution of traditional educational planning. Benefiting from this revolution …
Edge-cloud collaborative computation offloading for federated learning in smart city
With the continuous transformation and development of information technologies, the smart
city is becoming a promising paradigm to deal with the enormous network data. Among …
city is becoming a promising paradigm to deal with the enormous network data. Among …