Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- surveyNovember 2024
A Survey on Security of UAV Swarm Networks: Attacks and Countermeasures
ACM Computing Surveys (CSUR), Volume 57, Issue 3Article No.: 74, Pages 1–37https://doi.org/10.1145/3703625The increasing popularity of Unmanned Aerial Vehicle (UAV) swarms is attributed to their ability to generate substantial returns for various industries at a low cost. Additionally, in the future landscape of wireless networks, UAV swarms can serve as ...
- research-articleOctober 2024
Traffic-Aware Lightweight Hierarchical Offloading Toward Adaptive Slicing-Enabled SAGIN
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 12Pages 3536–3550https://doi.org/10.1109/JSAC.2024.3459020The emerging Space-Air-Ground Integrated Networks (SAGIN) empower Mobile Edge Computing (MEC) with wider communication coverage and more flexible network access. However, the fluctuating user traffic and constrained computing architecture seriously hinder ...
- research-articleAugust 2024
Flexible Graph Neural Diffusion with Latent Class Representation Learning
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 2936–2947https://doi.org/10.1145/3637528.3671860In existing graph data, the connection relationships often exhibit uniform weights, leading to the model aggregating neighboring nodes with equal weights across various connection types. However, this uniform aggregation of diverse information diminishes ...
- research-articleMay 2024
Joint User Association, Interference Cancellation, and Power Control for Multi-IRS Assisted UAV Communications
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 10_Part_1Pages 13408–13423https://doi.org/10.1109/TWC.2024.3401152Intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) communications are expected to alleviate the load of ground base stations in a cost-effective way. Existing studies mainly focus on the deployment and resource allocation of a ...
- surveyMay 2024
Integration of Sensing, Communication, and Computing for Metaverse: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 245, Pages 1–38https://doi.org/10.1145/3659946The metaverse is an Artificial Intelligence (AI)-generated virtual world, in which people can game, work, learn, and socialize. The realization of metaverse not only requires a large amount of computing resources to realize the rendering of the virtual ...
-
- research-articleFebruary 2024
A Depression Detection Auxiliary Decision System Based on Multi-Modal Feature-Level Fusion of EEG and Speech
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 3392–3402https://doi.org/10.1109/TCE.2024.3370310By improving the accuracy of depression recognition and designing a consumer-oriented depression detection system, consumers are expected to receive convenient and fast e-health services. Recently, depression recognition methods based on the analysis of ...
- research-articleFebruary 2024
An AoI-Aware Data Transmission Algorithm in Blockchain-Based Intelligent Healthcare Systems
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 1180–1190https://doi.org/10.1109/TCE.2024.3365198The development of Sixth Generation (6G) communication technology plays a pivotal role in emerging intelligent healthcare applications. However, the vast amount of data not only occupies channel resources but also poses challenges to the timeliness and ...
- research-articleDecember 2023
Wireless Powered Metaverse: Joint Task Scheduling and Trajectory Design for Multi-Devices and Multi-UAVs
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 3Pages 552–569https://doi.org/10.1109/JSAC.2023.3345433To support the running of human-centric metaverse applications on mobile devices, Unmanned Aerial Vehicle (UAV)-assisted Wireless Powered Mobile Edge Computing (WPMEC) is promising to compensate for limited computational capabilities and energy supplies ...
- research-articleNovember 2023
Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 2004–2017https://doi.org/10.1109/TCE.2023.3331907The Industry 5.0 (I5) incorporates numerous emerging technologies that enable the perception, management, interaction, and control of real physical objects. As cyber attacks are becoming more intelligent and accessible, I5 security issues are gaining ...
- research-articleOctober 2023
Joint Optimization of Preference-Aware Caching and Content Migration in Cost-Efficient Mobile Edge Networks
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 5Pages 4918–4931https://doi.org/10.1109/TWC.2023.3323464Current mobile networks are facing dramatic growth in wireless traffics due to the prosperity of streaming media services. Cooperative edge caching, enabling multiple edge nodes to cache and share contents by exploiting the spatial/temporal user request ...
- research-articleOctober 2023
Mean-Field Learning for Edge Computing in Mobile Blockchain Networks
IEEE Transactions on Mobile Computing (ITMV), Volume 22, Issue 10Pages 5978–5994https://doi.org/10.1109/TMC.2022.3186699Blockchain has been leveraged to secure transactions for the m-commerce. However, the intensive computation in the mining process restricts the participation of mobile devices. Currently, some studies have deployed edge computing services to support the ...
- research-articleSeptember 2023
Multi-Agent Deep Reinforcement Learning Based UAV Trajectory Optimization for Differentiated Services
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 5Pages 5818–5834https://doi.org/10.1109/TMC.2023.3312276Driven by the increasing computational demand of real-time mobile applications, Unmanned Aerial Vehicle (UAV) assisted Multi-access Edge Computing (MEC) has been envisioned as a promising paradigm for pushing computational resources to network edges and ...
- surveyAugust 2023
Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 1Article No.: 13, Pages 1–31https://doi.org/10.1145/3604933Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and low costs. However, resource constraints such as dynamic wireless ...
- research-articleAugust 2023
Blockchain Intelligence for Internet of Vehicles: Challenges and Solutions
IEEE Communications Surveys & Tutorials (IEEE_ICST), Volume 25, Issue 4Pages 2325–2355https://doi.org/10.1109/COMST.2023.3305312With the development of communication and networking technologies, the Internet of Vehicles (IoV) has become the foundation of smart transportation. The development of blockchain and Machine Learning (ML) has contributed to the pervasiveness of the IoV, ...
- surveyJuly 2023
Wireless Powered Mobile Edge Computing Networks: A Survey
ACM Computing Surveys (CSUR), Volume 55, Issue 13sArticle No.: 263, Pages 1–37https://doi.org/10.1145/3579992Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve computing capabilities of mobile devices and energy compensation for their limited battery ...
- research-articleMay 2023
Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing
IEEE Transactions on Mobile Computing (ITMV), Volume 22, Issue 5Pages 2628–2644https://doi.org/10.1109/TMC.2021.3129785Driven by the increasing demand of real-time mobile application processing, Multi-access Edge Computing (MEC) has been envisioned as a promising paradigm for pushing computational resources to network edges. In this paper, we investigate an MEC network ...
- research-articleMay 2023
How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoT
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 37, Issue 3Pages 126–131https://doi.org/10.1109/MNET.122.2100762Fifth-generation mobile communication technology (5G) is a powerful driving force for the Industrial Internet of Things (IIoT). In the 5G-based IIoT, multi-access edge computing (MEC) can move traffic and service computing from the centralized cloud to ...
- research-articleApril 2023
Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters
WWW '23: Proceedings of the ACM Web Conference 2023Pages 177–187https://doi.org/10.1145/3543507.3583253Graph convolutional neural network (GCN) is a powerful deep learning framework for network data. However, variants of graph neural architectures can lead to drastically different performance on different tasks. Model comparison calls for a unifying ...
- research-articleApril 2023
Dynamic UAV Deployment for Differentiated Services: A Multi-Agent Imitation Learning Based Approach
IEEE Transactions on Mobile Computing (ITMV), Volume 22, Issue 4Pages 2131–2146https://doi.org/10.1109/TMC.2021.3116236Unmanned Aerial Vehicles (UAVs) have been utilized to serve on-ground users with various services, e.g., computing, communication and caching, due to their mobility and flexibility. The main focus of many recent studies on UAVs is to deploy a set of ...
- research-articleJanuary 2023
Lightweight Imitation Learning for Real-Time Cooperative Service Migration
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 2Pages 1503–1520https://doi.org/10.1109/TMC.2023.3239845Due to the revolution of communication technology, the rapidly increasing number of mobile devices in edge networks generates various real-time service requests, requiring a considerable volume of heterogeneous resources all the time. However, edge ...