RL-MAB-Based Resource Allocation for Efficient Bandwidth Utilization in Industrial IoT Networks by Dongyeong Seo, Kidong Nam, Kwansoo Jung

“…The experimental performance evaluation shows that the proposed scheme improves network performance in terms of resource efficiency, scalability, energy efficiency, and mobility support compared to the typical resource allocation and scheduling schemes.…”
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Energy-efficient device selection and resource allocation for edge-driven hierarchical federated learning by Yongwen Liu, Dongqing Liu, Lyes Khoukhi, Bo Wang, Lei Zhang, Yaoli Xu

“…However, existing frameworks often struggle with energy efficiency, adaptability to dynamic conditions, and the complex interplay between device selection and resource allocation. In this paper, we propose an energy-efficient hierarchical federated learning framework that jointly optimizes IoT device selection, local resource allocation, and base station resource allocation across a three-layer architecture. …”
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Distributed RL-Based Resource Allocation and Task Offloading for Vehicular Edge of Things Computing by Ghada Afifi, Bassem Mokhtar

“…However, VEoTC frameworks face several challenges in effectively localizing and allocating the distributed resources and offloading tasks successfully due to the high mobility of vehicles and fluctuating user densities. …”
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Decentralized and Joint Resource Allocation, Beamforming, and Beamcombining for 5G Networks With Heterogeneous MARL by Ala'a Al-Habashna, Jon Menard, Gabriel Wainer, Gary Boudreau

“…Our results show that the proposed paradigm can successfully optimize the task of joint resource allocation, beamforming, and combining. Furthermore, we provide a comparative analysis of the three different implementations, highlighting noteworthy insights into the strengths and limitations of fully distributed algorithms, such as IQL, in comparison to algorithms employing the Centralized Training with Decentralized Execution (CTDE) framework, exemplified by QTRAN and MADDPG.…”
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Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks by Omid Abachian Ghasemi, Mehdi Chehel Amirani

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Dynamic Security-Aware Resource Allocation in Quantum Key Distribution-Enabled Optical Networks by Vimal Bhatia, Adolph Kasegenya, Bowen Chen

“…This research addresses the issues of high blocking probabilities (BPs) and the proper utilization of quantum resources in varying network loads by introducing a novel heuristic approach, termed dynamic security-aware quantum resource allocation (D-SQRA), designed for dynamic resource allocation in QKD-enabled optical networks. …”
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Research on the Capacity Allocation Optimization of Island Micro-grid Including Wind Power, Tidal Current Energy and Energy Storage by PANG Jiameng, ZANG Xiaodi

“…The three-objective optimization model uses the multi-objective particle swarm optimization algorithm to solve the established model, and obtains different capacity allocation schemes. …”
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Green Video Transcoding in Cloud Environments Using Kubernetes: A Framework With Dynamic Renewable Energy Allocation and Priority Scheduling by B. M. Beena, Prashanth Cheluvasai Ranga, A. Vinitha Chowdary, Rohan Gamidi, M. Hemasri, Tejaswi Muppala

“…Two novel scheduling algorithms, Dynamic Renewable Energy Allocation (DREA) and Energy-Aware Priority Scheduling (EAPS), enhance energy efficiency. …”
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MODIFIED ROMANOVSKY ALGORITHM FOR QUICK FINDING OF APPROXIMATE SOLUTION TO HOMOGENEOUS ALLOCATION PROBLEM by Rudolf A. Neydorf, Artem A. Zhikulin

“…The modification of Romanovsky algorithm for the approximate solution to the homogeneous allocation problem is developed. …”
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Dual time scale network slicing algorithm based on D3QN for B5G multi-service scenarios by Geng CHEN, Shuhu QI, Fei SHEN, Qingtian ZENG

“…To effectively meet the differentiated quality of service (QoS) requirements of different slices, a dual time scale network slicing resource allocation algorithm based on dueling double DQN (D3QN) was proposed for B5G multi-service scenarios.The joint resource slicing and scheduling problem was formulated, with the weighted sum of the normalized spectral efficiency (SE) and the QoS of users indices of different slices as the optimization objective.On large time scale, the SDN controller used the D3QN algorithm to pre-allocate resources to different slices based on the resource requirements of each service, and then performed BS-level resource updating based on the load status of BS.On small time scale, the BS scheduled resources to end-users by using the round-robin scheduling algorithm.The simulation results show that the proposed algorithm has excellent performance in ensuring the QoS requirements of slice users, SE and system utility.Compared with the other 4 baseline algorithms, the system utility is improved by 3.22%, 3.81%, 7.48% and 21.14%, respectively.…”
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Self-adapted task allocation algorithm with complicated coalition in wireless sensor network by Wen-zhong GUO, Jin-shu SU, Cheng-yu CHEN, Guo-long CHEN

“…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
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Self-adapted task allocation algorithm with complicated coalition in wireless sensor network by Wen-zhong GUO, Jin-shu SU, Cheng-yu CHEN, Guo-long CHEN

“…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
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Enterprise fission path optimization and dynamic capability construction based on the soft actor-critic algorithm by Hengsheng Gu

“…The experimental results show that the fission path optimized by deep reinforcement learning (DRL) markedly improves the resource allocation efficiency and market response speed by an average of 20.4% and 25.2%, respectively. …”
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Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs by Nagaraju Pacharla, K. Srinivasa Reddy

“…This research proposes a Vehicle Authentication based Resilient Routing Algorithm with Dynamic Task Allocation (VARRA-DTA) Scheme for selecting the optimal and secured route in VANET with effective task allocation strategy that reduces the latency in the network. …”
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Energy-Aware Task Allocation for Multi-Cloud Networks by Sambit Kumar Mishra, Sonali Mishra, Ahmed Alsayat, N Z Jhanjhi, Mamoona Humayun, Kshira Sagar Sahoo, Ashish Kr. Luhach

“…This research work proposed a resource-based task allocation algorithm. The same is implemented and analyzed to understand the improved performance of the heterogeneous multi-cloud network. …”
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Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India by Anandan P, Siow Chun Lim, Anbuselvan N

“…This study leverages meta-heuristic optimization techniques to propose an efficient allocation strategy for PHEV charging stations powered by RES. …”
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Portfolio selection and primary user QoS guarantee based resource allocation in cognitive radio networks by Hui LIANG, Xiao-hui ZHAO

“…Inspired by portfolio selection theory,an efficient primary user QoS guaranteed resource allocation algorithm from secondary user interference by using historical channel state information was proposed.This algorithm formulates the risk as optimization objective,and restricts the interference which comes from secondary system to primary users below a mutual interference threshold.Then quadratic programming method is used to solve this optimization problem.Finally,performance comparison between the original algorithm without protection and the proposed algorithm was given.Simulation results illustrate that the proposed algorithm can minimize secondary system risk under an expected transmission rate and guarantee primary user’s QoS.…”
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Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications by Saroj Mali, Feng Zeng, Deepak Adhikari, Inam Ullah, Mahmoud Ahmad Al-Khasawneh, Osama Alfarraj, Fahad Alblehai

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Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction by Lei Li, Xue Gao

“…However, the workload of an Internet service is not constant; therefore, the required cloud computing resources need to be allocated elastically to minimize the associated costs. …”
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Unified Resource Allocation and Mobility Management Technique Using Particle Swarm Optimization for VLC Networks by Muhammet Selim Demir, Sadiq M. Sait, Murat Uysal

“…In this paper, we present a unified resource allocation and mobility management algorithm based on particle swarm optimization (PSO) for indoor visible light communication (VLC) networks. …”
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