Smart City Gnosys

Smart city article details

Title	Hdfrl-Empowered Energy Efficient Resource Allocation For Aerial Mec-Enabled Smart City Cyber Physical System In 6G
ID_Doc	28813
Authors	Seid A.M.; Abishu H.N.; Erbad A.; Guizani M.
Year	2023
Published	2023 International Wireless Communications and Mobile Computing, IWCMC 2023
DOI	http://dx.doi.org/10.1109/IWCMC58020.2023.10182529
Abstract	A cyber-physical system (CPS) is a promising paradigm in 5G and future 6G networks that controls physical components through computing and communication while ensuring efficacy, intelligence, and security. The number of smart mobile devices or sensors in smart cities is growing very fast. These devices can process applications in real-time only for a short time due to limited resource capacity. The Mobile Edge Computing (MEC) paradigm is a prominent solution that allows devices to offload intensive tasks and allocate resources. However, the terrestrial MEC servers will be overwhelmed and unable to meet the requirements of 6G technologies for ultra-low-latency applications and mobile devices. Aerial-borne MEC servers have recently supported ultra-reliable, low-latency communication applications and mobile devices in an emergency scenario by providing resources and relaying them to a cloud server. In the intelligent aerial-enabled smart city CPS (S2CPS), decisionmaking tasks such as resource allocation, association, and ensuring trust between links are challenging, and the optimization problem is multi-objective. Therefore, we proposed a hierarchical, deep federated learning-empowered, energy-efficient resource allocation for aerial-enabled S2CPS to minimize the overall energy consumption while considering the quality of service of user devices and the privacy of task offloading in a dynamic environment. We validated the proposed framework through extensive simulations, proving it outperformed the baseline algorithms. © 2023 IEEE.
Author Keywords	HAPS; Internet of Vehicles; MARL; Resource allocation; software-defined networks

Similar Articles

Id	Similarity	Authors	Title	Published
21374	0.884	Wan X.	Dynamic Resource Management In Mec Powered By Edge Intelligence For Smart City Internet Of Things	Journal of Grid Computing, 22, 1 (2024)
23409	0.881	Zhao, BH; Peng, K; Zhu, FY; Xue, SJ	Energy- And Reliability-Aware Computation Offloading With Security Constraints In Mec-Enabled Smart Cities	CLOUD COMPUTING, CLOUDCOMP 2021, 430 (2022)
37381	0.878	Huang H.; Zhan W.; Min G.; Duan Z.; Peng K.	Mobility-Aware Computation Offloading With Load Balancing In Smart City Networks Using Mec Federation	IEEE Transactions on Mobile Computing, 23, 11 (2024)
18069	0.87	Li W.; Chen X.; Jiao L.; Wang Y.	Deep Reinforcement Learning-Based Intelligent Task Offloading And Dynamic Resource Allocation In 6G Smart City	Proceedings - IEEE Symposium on Computers and Communications, 2023-July (2023)
38480	0.866	Vishnoi V.; Budhiraja I.; Garg D.; Garg S.; Choi B.J.; Hossain M.S.	Multiagent Deep Reinforcement Learning Based Energy Efficient Resource Management Scheme For Ris Assisted D2D Users In 6G-Aided Smart Cities Environment	Alexandria Engineering Journal, 116 (2025)
2080	0.865	Wallace J.; Vukovic M.; Karimovic T.; Edwards W.	A High-Performance 5G/6G Framework For Smart Cities Supporting Multi-Level Artificial Intelligence	2025 2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025 (2025)
16325	0.86	Zhu W.; Chen X.; Jiao L.; Min G.; Li W.	Cost-Efficient 6G Space-Air-Ground Integrated Mobile Edge Computing For Smart City: A Ppo-Based Offloading Decision And Resource Allocation Algorithm	Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023 (2023)
26323	0.858	Chen X.; Liu G.	Federated Deep Reinforcement Learning-Based Task Offloading And Resource Allocation For Smart Cities In A Mobile Edge Network	Sensors, 22, 13 (2022)
21789	0.857	Tian K.; Chai H.; Liu Y.; Liu B.	Edge Intelligence Empowered Dynamic Offloading And Resource Management Of Mec For Smart City Internet Of Things	Electronics (Switzerland), 11, 6 (2022)
22931	0.851	Nauman A.; Alruwais N.; Alabdulkreem E.; Nemri N.; Aljehane N.O.; Dutta A.K.; Assiri M.; Khan W.U.	Empowering Smart Cities: High-Altitude Platforms Based Mobile Edge Computing And Wireless Power Transfer For Efficient Iot Data Processing	Internet of Things (Netherlands), 24 (2023)