supported in part by the Scheme for Promotion of Academic&Research Collaboration(SPARC),Government of India under Grant SPARC/2024-2025/NXTG/P3524;in part by the COFAC-Cooperativa de Formacao e Animacao Cultural,C.R.L.(University of Lusofona University),via the Project PortuLight(COFAC/ILIND/COPELABS/2/2023);in part by the National Funds through FCT-Fundacao para a Ciencia e a Tecnologia-as part of the project AIEE-UAV under Grant 2022.03897;PTDC,CEECINST/00002/2021/CP2788/CT0003;COPELABS under Grant UIDB/04111/2020;by the European Commission via Marie Skłodowska-Curie Actions(MSCA)as part of the Project REMARKABLE under Grant 101086387.
This study introduces a novel approach to empower cellular-connected unmanned aerial vehicles(UAVs)in predicting signal quality.The proposed prediction model leverages data collected by the UAVs,addressing privacy con...
supported in part by the National Key Research and Development Program of China under Grant 2020YFB1005900;the National Natural Science Foundation of China(NSFC)under Grant 62102232,62122042,61971269;Natural Science Foundation of Shandong province under Grant ZR2021QF064.
The past decades have witnessed a wide application of federated learning in crowd sensing,to handle the numerous data collected by the sensors and provide the users with precise and customized services.Meanwhile,how t...
This work was supported in part by the National Natural Science Foundation of China(NSFC)under grant numbers 61671047,61775015 and U2006217.
This paper proposes the alternating direction method of multipliers-based infinity-norm(ADMIN) with threshold(ADMIN-T) and with percentage(ADMIN-P) detection algorithms,which make full use of the distribution of the s...
In the fifth generation(5G)wireless system,a closed-loop power control(CLPC)scheme based on deep Q learning network(DQN)is introduced to intelligently adjust the transmit power of the base station(BS),which can improv...
supported by the National Natural Science Foundation of China under Grants 62272256,61832012,and 61771289;Major Program of Shandong Provincial Natural Science Foundation for the Fundamental Research under Grant ZR2022ZD03;the Pilot Project for Integrated Innovation of Science,Education and Industry of Qilu University of Technology(Shandong Academy of Sciences)under Grant 2022XD001;Shandong Province Fundamental Research under Grant ZR201906140028。
Two packet scheduling algorithms for rechargeable sensor networks are proposed based on the signal to interference plus noise ratio model.They allocate different transmission slots to conflicting packets and overcome ...
The authors would like to thank for the support from Taif University Researchers Supporting Project number(TURSP-2020/10),Taif University,Taif,Saudi Arabia.
The 3D Underwater Sensor Network(USNs)has become the most optimistic medium for tracking and monitoring underwater environment.Energy and collision are two most critical factors in USNs for both sparse and dense regio...