A Method for Trust-Based Collaborative Smart Device Selection and Resource Allocation in the Financial Internet of Things by Bo Wang, Jiesheng Wang, Mingchu Li

“…Furthermore, to address the challenge of resource allocation for trusted smart devices under constrained edge resources, a coalition game-based algorithm is proposed that considers both device activity and trust levels. …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

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Joint trajectory design and resource allocation for UAV-assisted mobile edge computing in power convergence network by Junbin Cui, Yong Wei, Jianbo Wang, Li Shang, Peng Lin

“…Following this, leveraging the alternating direction method of multipliers, we introduce the joint computation offloading and resource allocation algorithm. For the second subproblem, we utilize the successive convex approximation method to solve this non-convex problem. …”
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Multi-values discrete particle swarm optimization for cross layer resource allocation in cooperative OFDMA systems by Wei LI, Chun-lin XIONG, De-gang WANG, Xiao-ying ZHANG, Ji-bo WEI

“…In order to maximize the sum utility of all MS under per-relay power constraint(PPC), an asymptotic optimal resource allocation algorithm based on multi-values discrete particle swarm optimization (MDPSO) was pro-posed. …”
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Joint Design of Antenna Selection and Resource Allocation in Massive MIMO-Based Ultra Dense Heterogeneous Networks by Malini Balachandran, Noor Mohammed Vali Mohamad

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Energy Efficiency Optimization for UAV Distribution and Resource Allocation in NOMA and Multi-UAV Assisted Wireless Networks by Yuan Ren, Jieyu Wang, Yulong Xiao, Xuewei Zhang, Fan Jiang, Junxuan Wang, Jing Jiang, Guangyue Lu

“…The sub-problem for resource allocation is solved by the successive convex approximation and Dinkelbach methods. …”
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Evaluating the Efficiency of Gray Wolf Optimization and Colonial Competition Algorithm in Load Balancing of Distributed Systems by Asghar Molaei-Yeznabad, Amirhossein Dehghani

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Hybrid Recurrent Neural Network and Decision Tree Scheduling for Energy-Efficient Resource Allocation in Cloud Computing by Sefati Seyed Salar, Vulpe Alexandru, Popovici Eduard, Fratu Octavian

“…Efficient resource allocation in cloud computing is critical for optimizing execution time, minimizing delays, and improving system reliability. …”
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Energy-efficient blockchain-IIoT with mobile edge computing: optimizing resource allocation and multi-hop offloading by Yiyi Zhang, Xueyue Xue, Xianfu Lin, Wenchang Wei, Zhicheng Su

“…To this end, this article proposes an energy-efficient blockchain-enabled IIoT integrated with MEC to optimize resource allocation and multi-hop task offloading. …”
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Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty by Muhammad Zafar Abbas, Rukhshanda Anjum, Muhammad Umar Mirza, Abdulrahman A. Almehizia, Amir Hussain

“…In order to validate the effectiveness of our proposed approach, the method is applied to a case study in an optimal renewable energy resource allocation in sustainable energy systems in a smart grid. …”
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Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes by Rebeka Anna Jáger, Géza Szabó

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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning by Qingli Liu, Yongjie Ma

“…Abstract In highly dynamic vehicular networking scenarios, when Vehicle-to-Infrastructure links and Vehicle-to-Vehicle links share spectrum resources, the traditional distributed resource allocation method lacks global optimization and fails to respond to environmental changes in a timely manner, which leads to low spectral efficiency of the system. …”
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QoS guaranteed multi-user and multi-traffic scheduling algorithm for IEEE 802.16 network by BAI Bo1, CAO Zhi-gang1, CHEN Wei1, I Chih-lin2

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Q-LME: Q-learning-based local mutual exclusion algorithm for flying ad hoc networks by Sindhuja S, Mary Anita Rajam V

“…However, resource allocation and token management in FANETs remain unexplored. …”
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Edge computing smart grid resource scheduling algorithm based on reinforcement learning by Jinghang YU, Yichen ZHAO, Hu SONG

“…A smart grid is a power network capable of intelligent management and optimization.Network virtualization technology can effectively improve the resource utilization and reliability of smart grids and meet the differentiated needs of different users.In the case of limited resources, traditional virtual network embedding algorithms cannot dynamically adjust the allocation and mapping of virtual resources according to the resource usage and user needs of the power system.To solve this problem, edge computing and virtualization technology was combined and a virtual network resource scheduling algorithm based on reinforcement learning was introduced.The simulation results show that the proposed virtual resource scheduling algorithm is better than the other three scheduling algorithms in improving power grid reliability and resource utilization.…”
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ML-RASPF: A Machine Learning-Based Rate-Adaptive Framework for Dynamic Resource Allocation in Smart Healthcare IoT by Wajid Rafique

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A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing by Guiwen Jiang, Rongxi Huang, Zhiming Bao, Gaocai Wang

“…Task offloading and resource allocation is a research hotspot in cloud-edge collaborative computing. …”
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Energy Aware Optimal Resource Allocation in Backhaul Constraint Wireless Networks: A Two Base Stations Scenario by Yuan Gao, Peng Xue, Yi Li, Hongyi Yu, Xianfeng Wang, Shihai Gao

“…Simulations show that this allocation algorithm can improve the system capacity and energy efficiency significantly compared with the blind alternatives.…”
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Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing by Shu Xu, Qingjie Liu, Chengye Gong, Xupeng Wen

“…This paper proposes a novel multi-agent reinforcement learning framework, termed Multi-Agent Twin Delayed Deep Deterministic Policy Gradient for Task Offloading and Resource Allocation (MATD3-TORA), to optimize task offloading and resource allocation in UAV-assisted MEC networks. …”
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Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration by Zaheer Ahmed, Ayaz Ahmad, Muhammad Altaf, Mohammed Ahmed Hassan

“…The joint optimization includes power minimization, efficient resource allocation, i.e., transmit power and bandwidth, and efficient two-dimensional positioning of the UAV while meeting system constraints. …”
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