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- research-articleJanuary 2024
An offloading method in new energy recharging based on GT-DQN
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 46, Issue 1Pages 479–492https://doi.org/10.3233/JIFS-233990The utilization of green edge has emerged as a promising paradigm for the development of new energy vehicle (NEV). Nevertheless, the recharging of these vehicles poses a significant challenge in due to limited power resources and enormous transmission ...
- research-articleOctober 2022
Improved Flow Awareness Among Edge Nodes by Learning-Based Sampling in Software Defined Networks
Mobile Networks and Applications (MNET), Volume 27, Issue 5Pages 1867–1879https://doi.org/10.1007/s11036-019-01402-8AbstractTo improve the specific quality of service, internal network management and security analysis in the future mobile network, accurate flow-awareness in the global network through packet sampling has been a viable solution. However, the current ...
- research-articleAugust 2022
Alpine skiing optimization: A new bio-inspired optimization algorithm
Advances in Engineering Software (ADES), Volume 170, Issue Chttps://doi.org/10.1016/j.advengsoft.2022.103158Highlights- A mathematical model is proposed to simulate the behaviors of skiers competing for the championship.
A novel swarm intelligence optimization algorithm is proposed, which is named alpine skiing optimization (ASO). The main inspiration of the ASO originated from the behaviors of skiers competing for the championship. In the ASO, ...
- research-articleJuly 2022
Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer algorithm
AbstractHighly non-linear optimization problems are widely found in many real-world engineering applications. To tackle these problems, a novel assisted optimization strategy, named elite opposition-based learning and chaotic k-best ...
Highlights- Elite opposition-based learning and chaotic k-best gravitational search strategy (EOCS) are proposed.
- research-articleApril 2022
Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM
Advanced Engineering Informatics (ADEI), Volume 52, Issue Chttps://doi.org/10.1016/j.aei.2022.101563AbstractThe oil is one of the main power sources of Tunnel Boring Machine (TBM).
In practical engineering, it is necessary to keep the oil temperature within the normal range because too high oil temperature would increase the ...
- research-articleAugust 2021
Multiview image generation for vehicle reidentification
Applied Intelligence (KLU-APIN), Volume 51, Issue 8Pages 5665–5682https://doi.org/10.1007/s10489-020-02171-8AbstractVehicle re-identification (ReID) with viewpoint variations is an interesting but challenging task in computer vision. Most existing vehicle ReID approaches focus on the original single view, which requires vehicle features in varying views. ...
- research-articleMay 2019
Federated learning-based computation offloading optimization in edge computing-supported internet of things
ACM TURC '19: Proceedings of the ACM Turing Celebration Conference - ChinaArticle No.: 25, Pages 1–5https://doi.org/10.1145/3321408.3321586Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge computing is emerged to complement these capability-constrained ...
- research-articleJanuary 2019
Deferred virtual machine migration
International Journal of High Performance Computing and Networking (IJHPCN), Volume 14, Issue 2Pages 229–236https://doi.org/10.1504/ijhpcn.2019.101260The rapid growth in demand for cloud services has led to the establishment of huge virtual machines. Online virtual machine (VM) migration techniques offer cloud providers means to reduce power consumption while keeping quality of service. However, the ...
- research-articleJanuary 2019
Edge Caching for D2D Enabled Hierarchical Wireless Networks with Deep Reinforcement Learning
Edge caching is a promising method to deal with the traffic explosion problem towards future network. In order to satisfy the demands of user requests, the contents can be proactively cached locally at the proximity to users (e.g., base stations or user ...
- articleApril 2017
A backoff algorithm based on self-adaptive contention window update factor for IEEE 802.11 DCF
The binary exponential backoff (BEB) mechanism is applied to the packet retransmission in lots of wireless network protocols including IEEE 802.11 and 802.15.4. In distributed dynamic network environments, the fixed contention window (CW) updating ...