sponsored by Qinglan Project of Jiangsu Province,and Jiangsu Provincial Key Research and Development Program(No.BE2020084-1).
Opportunistic mobile crowdsensing(MCS)non-intrusively exploits human mobility trajectories,and the participants’smart devices as sensors have become promising paradigms for various urban data acquisition tasks.Howeve...
supported by Future Network Scientific Research Fund Project (FNSRFP-2021-ZD-4);National Natural Science Foundation of China (No.61991404,61902182);National Key Research and Development Program of China under Grant 2020YFB1600104;Key Research and Development Plan of Jiangsu Province under Grant BE2020084-2。
With the rapid development of Intelligent Transportation Systems(ITS),many new applications for Intelligent Connected Vehicles(ICVs)have sprung up.In order to tackle the conflict between delay-sensitive applications a...
This paper proposes an IoT-Fog-Cloud distributed consensus algorithm for solving the energy hub(EH)dispatch problem with packet-dropping communication links and some of EH elements'uncertainties.Every generating and c...
supported in part by the National Natural Science Foundation of China under Grant 62171104;the National Key Research and Development Program of China under Grant 2018YFE0117500;the Key Lab of Information Network Security under Grant C19603;in part by the EU H2020 Project COSAFE(MSCA-RISE-2018-824019)。
The Internet of Vehicles(Io V)has great potential for Intelligent Transportation Systems(ITS),enabling interactive vehicle applications,such as advanced driving and infotainment.It is crucial to ensure the reliability...
supported by the National Natural Sci-ence Foundation of China(No.52277108);Guangdong Provincial Department of Science and Technology(No.2022A0505020015).
The increasing use of renewable energy in the power system results in strong stochastic disturbances and degrades the control performance of the distributed power grids.In this paper,a novel multi-agent collaborative ...
Future unmanned battles desperately require intelli-gent combat policies,and multi-agent reinforcement learning offers a promising solution.However,due to the complexity of combat operations and large size of the comb...
the National Key R&D Program of China(2020AAA0107200);the National Natural Science Foundation of China(Grant Nos.61921006,61876119,62276126);the Natural Science Foundation of Jiangsu(BK20221442)。
Communication can promote coordination in cooperative Multi-Agent Reinforcement Learning(MARL).Nowadays,existing works mainly focus on improving the communication efficiency of agents,neglecting that real-world commun...
supported by the National Natural Science Foundation of China(No.61903036)。
In response to the uncertainty of information of the injured in post disaster situations,considering constraints such as random chance and the quantity of rescue resource,the split deliv-ery vehicle routing problem wi...
supported by Bright Dream Robotics and the HKUSTBDR Joint Research Institute Funding Scheme under Project HBJRI-FTP-005(Automated 3D Reconstruction using Robot-mounted 360-Degree Camera with Visible Light Positioning Technology for Building Information Modelling Applications,OKT22EG06).
Large-scale indoor 3D reconstruction with multiple robots faces challenges in core enabling technologies.This work contributes to a framework addressing localization,coordination,and vision processing for multi-agent ...
supported in part by the National Natural Science Foundation of China under grant 61861007;the Guizhou Province Science and Technology Planning Project ZK[2021]303;the Guizhou Province Science Technology Support Plan under grant[2022]264,[2023]096,[2023]409 and[2023]412;the Science Technology Project of POWERCHINA Guizhou Engineering Co.,Ltd.(DJ-ZDXM-2022-44);the Project of POWERCHINA Guiyang Engineering Corporation Limited(YJ2022-12).
This research is the first application of Unmanned Aerial Vehicles(UAVs)equipped with Multi-access Edge Computing(MEC)servers to offshore wind farms,providing a new task offloading solution to address the challenge of...