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- surveyApril 2024
Epidemic Model-based Network Influential Node Ranking Methods: A Ranking Rationality Perspective
ACM Computing Surveys (CSUR), Volume 56, Issue 8Article No.: 203, Pages 1–39https://doi.org/10.1145/3653296Existing surveys and reviews on Influential Node Ranking Methods (INRMs) have primarily focused on technical details, neglecting thorough research on verifying the actual influence of these nodes in a network. This oversight may result in erroneous ...
- research-articleOctober 2023
Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 37, Issue 6Nov. 2023, Pages 82–91https://doi.org/10.1109/MNET.2023.3317320The gradual fusion of intelligent transportation systems with metaverse technologies is giving rise to vehicular metaverses, which blend virtual spaces with physical space. As indispensable components for vehicular metaverses, Vehicular Twins (VTs) are ...
- research-articleNovember 2023
Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach
IEEE Wireless Communications (IEEEWIRCOM), Volume 30, Issue 5October 2023, Pages 86–94https://doi.org/10.1109/MWC.014.2300095Metaverse enables users to communicate, collaborate and socialize with each other through their digital avatars. Due to the spatio-temporal characteristics, co-located users are served well by performing their software components in a collaborative manner ...
- research-articleSeptember 2023
Robust Design of IRS-Aided Multi-Group Multicast System With Imperfect CSI
IEEE Transactions on Wireless Communications (TWC), Volume 22, Issue 9Sept. 2023, Pages 6314–6328https://doi.org/10.1109/TWC.2023.3241453In this paper, the robust design for the intelligent reflective surface (IRS) assisted wireless multi-group multicast system is considered, in which two optimization design problems under two different channel state information (CSI) error models are ...
- opinionAugust 2023
Guest Editorial: Semantic Communications for the Metaverse
IEEE Wireless Communications (IEEEWIRCOM), Volume 30, Issue 4August 2023, Pages 16–17https://doi.org/10.1109/MWC.2023.10251888The concept of the Metaverse has grown in popularity as “the successor to the mobile Internet.” While there exist light versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and ...
- research-articleJuly 2023
Multi-UAV-Assisted Federated Learning for Energy-Aware Distributed Edge Training
IEEE Transactions on Network and Service Management (ITNSM), Volume 21, Issue 1Feb. 2024, Pages 280–294https://doi.org/10.1109/TNSM.2023.3298220Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has largely extended the border and capacity of artificial intelligence of things (AIoT) by providing a key element for enabling flexible distributed data inputs, computing capacity, and ...
- research-articleApril 2023
Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023April 2023, Pages 1258–1265https://doi.org/10.1145/3543873.3587573Vehicular Metaverses are widely considered as the next Internet revolution to build a 3D virtual world with immersive virtual-real interaction for passengers and drivers. In vehicular Metaverse applications, avatars are digital representations of on-...
- research-articleMarch 2023
Air-Ground Collaborative Edge Intelligence for Future Generation Networks
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 37, Issue 2March/April 2023, Pages 118–125https://doi.org/10.1109/MNET.008.2200287The air-ground integrated mobile edge computing (MEC) is expected to fulfill the ever-growing resource demands of artificial intelligence (AI)-enabled applications in sixth-generation (6G) wireless networks, ranging from computer vision to natural ...
- research-articleApril 2022
Dynamic wireless networks assisted by RIS mounted on aerial platform: Joint active and passive beamforming design
AbstractThe design of dynamic wireless networks assisted by reconfigurable intelligent surfaces (RIS) mounted on aerial platforms (RIS‐APs) is conceived, where the connection status among users and RIS‐APs are selected according to the average channel ...
- research-articleAugust 2021
Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance
2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)Aug 2021, Pages 255–262https://doi.org/10.1109/IRI51335.2021.00041The automatic extraction of hottest shipping routes is naturally beneficial for ship monitoring, maritime surveillance, and traffic safety management in vessel traffic service (VTS) systems. The extraction results are highly dependent on the historical ...
- research-articleJuly 2021
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 22, Issue 7July 2021, Pages 4716–4726https://doi.org/10.1109/TITS.2020.3027421Vehicle taillight detection is essential to analyze and predict driver intention in collision avoidance systems. In this article, we propose an end-to-end framework that locates the rear brake and turn signals from video stream in real-time. The system ...
- research-articleMay 2021
Joint optimization of service chain caching and task offloading in mobile edge computing
Applied Soft Computing (APSC), Volume 103, Issue CMay 2021https://doi.org/10.1016/j.asoc.2021.107142AbstractCaching and offloading in Mobile Edge Computing (MEC) are hot topics recently. Existing caching strategies at the edge ignore the programming ability of edge network and design strategies independently thus network resource is under ...
Highlights- We propose new caching scheme for IoT scenarios.
- Joint optimization for caching ...
- research-articleMarch 2021
Multi-Leader Multi-Follower Game-based Incentive Scheme for Socially-Aware Mobile Crowdsensing
2021 IEEE Wireless Communications and Networking Conference (WCNC)Mar 2021, Pages 1–6https://doi.org/10.1109/WCNC49053.2021.9417337As the paradigm of crowdsensing involves the data collection from users, the issue of designing reward to incentivize the users is fundamentally important to be addressed, thereby effectively enhancing the participation. In this paper, we revisit this ...
- research-articleMarch 2021
A Multi-Leader Multi-Follower Game-Based Analysis for Incentive Mechanisms in Socially-Aware Mobile Crowdsensing
IEEE Transactions on Wireless Communications (TWC), Volume 20, Issue 3March 2021, Pages 1457–1471https://doi.org/10.1109/TWC.2020.3033822The mobile crowdsensing paradigm facilitates a broad range of emerging sensing applications by leveraging ubiquitous mobile users to cooperatively perform certain sensing tasks with their smart devices. As this paradigm involves data collection from users,...
- ArticleSeptember 2020
Incentive Mechanism for Socially-Aware Mobile Crowdsensing: A Bayesian Stackelberg Game
Wireless Algorithms, Systems, and ApplicationsSep 2020, Pages 394–406https://doi.org/10.1007/978-3-030-59016-1_33AbstractIncentive mechanisms are pivotal in encouraging mobile users to participate to contribute their sensing information. However, most studies on incentive mechanisms merely considered individual behaviors of the users rather than their ...
- research-articleJanuary 2019
A Stackelberg Game Approach Toward Socially-Aware Incentive Mechanisms for Mobile Crowdsensing
IEEE Transactions on Wireless Communications (TWC), Volume 18, Issue 1January 2019, Pages 724–738https://doi.org/10.1109/TWC.2018.2885747Mobile crowdsensing has shown great potential in addressing large-scale data sensing problems by allocating sensing tasks to pervasive mobile users. The mobile users will participate in a crowdsensing platform if they can receive a satisfactory reward. ...
- research-articleDecember 2018
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
2018 IEEE Global Communications Conference (GLOBECOM)Dec 2018, Pages 1–7https://doi.org/10.1109/GLOCOM.2018.8647726Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsensing platform if they can receive satisfactory reward. In this paper, in ...
- demonstrationOctober 2017
Demo: Coding with Superposed Reflection Light for LED-Camera Communication
MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and NetworkingOctober 2017, Pages 513–515https://doi.org/10.1145/3117811.3124770As a popular approach to implementing Visible Light Communication (VLC) on commercial-off-the-shelf devices, LED-Camera VLC has attracted substantial attention recently. While such systems initially used reflected light as the communication media, ...
- research-articleOctober 2017
ReflexCode: Coding with Superposed Reflection Light for LED-Camera Communication
MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and NetworkingOctober 2017, Pages 193–205https://doi.org/10.1145/3117811.3117836As a popular approach to implementing Visible Light Communication (VLC) on commercial-off-the-shelf devices, LED-Camera VLC has attracted substantial attention recently. While such systems initially used reflected light as the communication media, ...