A5038075743- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Full-Duplex Wireless Communications
- Advanced MIMO Systems Optimization
- Distributed Control Multi-Agent Systems
- Software-Defined Networks and 5G
- Context-Aware Activity Recognition Systems
- Advanced Memory and Neural Computing
- UAV Applications and Optimization
- Advanced Wireless Communication Technologies
- Mobile Crowdsensing and Crowdsourcing
- Network Traffic and Congestion Control
- Advanced Wireless Network Optimization
- Cloud Computing and Resource Management
- Green IT and Sustainability
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Human Pose and Action Recognition
- Network Packet Processing and Optimization
- Perovskite Materials and Applications
- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
Southwest Jiaotong University
2016-2023
Guizhou University of Finance and Economics
2023
Tangshan College
2023
This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called CapMatch. CapMatch gracefully hybridizes supervised and unsupervised to extract rich representations from input data. In learning, leverages pseudolabeling, (CL), KD construct similarity on lower higher level semantic information extracted two...
This paper studies the trajectory control and task offloading (TCTO) problem in an unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies along planned to collect computation tasks from smart devices (SDs). We consider scenario that SDs are not directly connected by base station (BS) has two roles play: MEC server or wireless relay. The makes decisions online, which collected can be executed locally on offloaded BS for remote processing. TCTO involves...
In mobile-edge computing (MEC), smart mobile devices (SMDs) with limited computation resources and battery lifetime can offload their computing-intensive tasks to MEC servers, thus enhance the capability reduce energy consumption of SMDs. Nevertheless, offloading edge incurs additional transmission time higher execution delay. This article studies tradeoff between completion applications SMDs in networks. The problem is formulated as a multiobjective (MCOP), where task precedence, i.e.,...
Multi-access edge computing (MEC) and network function virtualization (NFV) are promising technologies to support emerging IoT applications, especially those computation-intensive. In NFV-enabled MEC environment, service chain (SFC), i.e., a set of ordered virtual functions (VNFs), can be mapped on servers. Mobile devices (MDs) offload computation-intensive which represented by SFCs, fully or partially servers for remote execution. This article studies the partial offloading SFC mapping...
This paper studies the multicast-oriented virtual network function placement (MVNFP) problem in a dynamic environment, which considers prediction of multicast service chain requests (MSRs). The end-to-end delay, computing resource consumption, and request processing delay are considered objective function, with bandwidth resources constrained. An online MVNFP algorithm two stages, called ODMVP, is proposed to address above. In pre-placement stage, bidirectional long short-term memory...
In network coding, intermediate nodes are allowed to mathematically recombine packets received from different incoming links, which helps increase throughput and accommodate more traffic flows with limited resources. Coding operations (i.e. packet recombination), however, could cause significant computational cost thus introduce heavy burden the if they performed wherever possible. It is hence important always keep amount of coding minimized in a dynamic environment. This paper proposes...
This paper studies the problem of how to efficiently minimize network coding resource. A modified particle swarm optimization (PSO) algorithm is proposed tackle problem, with concept path-relinking (PR) integrated into evolutionary framework. As an efficient local search heuristic that makes use problem-specific domain knowledge, PR helps strike a better balance between global exploration and exploitation for search. Simulation results demonstrate overweighs number existing commonly used...
This paper studies the trajectory control and task offloading (TCTO) problem in an unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies along planned to collect computation tasks from smart devices (SDs). We consider scenario that SDs are not directly connected by base station (BS) has two roles play: MEC server or wireless relay. The makes decisions online, which collected can be executed locally on offloaded BS for remote processing. TCTO involves...
This paper investigates the network coding resource minimization problem in context of dynamic environment.As a combination multiagent systems and evolutionary algorithm, algorithm (MAEA) is adapted for above NP-hard problem.Simulation results demonstrate that proposed MAEA outperforms number state-of-the-art algorithms with respect to solution quality.
Multi-access edge computing (MEC) and network function virtualization (NFV) are promising technologies to support emerging IoT applications, especially those computation-intensive. In NFV-enabled MEC environment, service chain (SFC), i.e., a set of ordered virtual functions (VNFs), can be mapped on servers. Mobile devices (MDs) offload computation-intensive which represented by SFCs, fully or partially servers for remote execution. This paper studies the partial offloading SFC mapping joint...