Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing by Li WANG, Qing WEI, Lianming XU, Yuan SHEN, Ping ZHANG, Aiguo FEI

“…In public emergencies such as accident relief, rescue workers are faced with challenges, such as poor communication, unstable navigating, and inaccurate disaster sensing.It is necessary to deploy an emergency unmanned aerial vehicle (UAV) network to guarantee the services of communication-navigating-sensing.Aiming at alleviating the problem of limited energy of UAV, a low-energy-consumption deployment of an emergency UAV network was first proposed for integrated communication-navigating-sensing (ICNS).The proposed scheme was able to realize network topology reconstruction and role cognition on demand.Then, a particle swarm algorithm based hierarchical matching decision-making algorithm was presented to jointly optimize three sub-problems, including the associations between UAVs and users, the resource allocation for multi-role UAV communications, and the UAV position.Simulation results show that the proposed ICNS scheme can achieve flexible adaptation of the multi-objective requirements and limited network resources, and dramatically reduce the demand for the number of UAVs and the deployment energy consumption.…”
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Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing by Li WANG, Qing WEI, Lianming XU, Yuan SHEN, Ping ZHANG, Aiguo FEI

“…In public emergencies such as accident relief, rescue workers are faced with challenges, such as poor communication, unstable navigating, and inaccurate disaster sensing.It is necessary to deploy an emergency unmanned aerial vehicle (UAV) network to guarantee the services of communication-navigating-sensing.Aiming at alleviating the problem of limited energy of UAV, a low-energy-consumption deployment of an emergency UAV network was first proposed for integrated communication-navigating-sensing (ICNS).The proposed scheme was able to realize network topology reconstruction and role cognition on demand.Then, a particle swarm algorithm based hierarchical matching decision-making algorithm was presented to jointly optimize three sub-problems, including the associations between UAVs and users, the resource allocation for multi-role UAV communications, and the UAV position.Simulation results show that the proposed ICNS scheme can achieve flexible adaptation of the multi-objective requirements and limited network resources, and dramatically reduce the demand for the number of UAVs and the deployment energy consumption.…”
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Computation offloading scheme for RIS-empowered UAV edge network by Bin LI, Wenshuai LIU, Wancheng XIE, Zesong FEI

“…In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU.…”
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Scalable Resource Provisioning Framework for Fog Computing Using LLM-Guided Q-Learning Approach by Bhargavi Krishnamurthy, Sajjan G. Shiva

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Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid by Songtao Peng

“…Since the wide use of virtual technology,the resource use rate in cloud data center has been improved effectively than ever before.However,there is still a large space for improvement due to the resources usually are pre-started and pre-allocated by the user demand rather than the actual needs.In order to allocate available resource more accurately,two algorithms were proposed to meet the needs of the daily use in most of time.The available virtual resources would be arranged according the forecast using the algorithms of hierarchical composition of loading and the peek resources needs would be dynamic allocated using the algorithms of stochastic equilibrium and queuing theory.The results of experiment via the system based upon above theories show that the solution provides a kind of very effective advanced means for the optimal use of resources and energy saves.…”
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Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication by Moirangthem Tiken Singh, Adnan Arif, Rabinder Kumar Prasad, Bikramjit Choudhury, Chandan Kalita, Sikdar Md. S. Askari

“…Traditional methods, such as the Hungarian algorithm and greedy allocation, primarily focus on maximizing spectral efficiency, often neglecting fairness in resource distribution. …”
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A survey of task deployment and recovery in space-air-ground integrated networks based on SDN and NFV by CAO Yilu, JIA Ziye, YOU Jiahao, ZHANG Lei, WU Qihui

“…These challenges subsequently lead to issues such as the resource allocation, competition, and failure risks. …”
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Joint Demand Response and Task Offloading Strategy for 5G Edge Computing Network by Xu LU, Ying CHEN, Zhongping XU, Haiquan ZHANG, Chunfang MU, Kai CHEN, Yi SUN

“…To solve the Mixed Integer Non-linear Programming (MINLP) problem, this paper further proposes a Generalized Benders Decomposition (GBD) algorithm based on network scenario division. By decomposing the problem into a master problem of task offloading decision and a primal problem of charging/discharging and resource allocation , the complexity of the model is reduced. …”
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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

“…Likewise, a modified algorithm is proposed for checking the consistency of the spherical fuzzy matrices. …”
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Layered bandwidth allocation algorithm for multi-service in orthogonal frequency division multiplexing passive optical network by Yejun LIU, Yuying LIU, Pengchao HAN, Jidong WANG, Lei GUO

“…Due to the superiority in large bandwidth capacity and flexible resource allocation,orthogonal frequency division multiplexing passive optical network (OFDM-PON) has been recognized as one of the promising candidates for the next generation PON.There are many research works on the system architecture design of OFDM-PON.However,most of these works focused on the techniques of physical structure and signal transmission and less addressed the bandwidth allocation algorithms supporting the new types of system architecture.The bandwidth allocation in OFDM-PON,which is one of the key techniques to enable the access of multi-service,refers to the joint optimization of multi-dimensional resources in time domain,frequency domain and bits.A layered bandwidth allocation algorithm was proposed for multi-service in the enhanced system architecture of OFDM-PON,aiming at the efficient bandwidth resource utilization.Simulation results prove that the proposed bandwidth allocation algorithm outperforms the conventional algorithms without layered transmission significantly in terms of resource utilization and packet delay.…”
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Layered bandwidth allocation algorithm for multi-service in orthogonal frequency division multiplexing passive optical network by Yejun LIU, Yuying LIU, Pengchao HAN, Jidong WANG, Lei GUO

“…Due to the superiority in large bandwidth capacity and flexible resource allocation,orthogonal frequency division multiplexing passive optical network (OFDM-PON) has been recognized as one of the promising candidates for the next generation PON.There are many research works on the system architecture design of OFDM-PON.However,most of these works focused on the techniques of physical structure and signal transmission and less addressed the bandwidth allocation algorithms supporting the new types of system architecture.The bandwidth allocation in OFDM-PON,which is one of the key techniques to enable the access of multi-service,refers to the joint optimization of multi-dimensional resources in time domain,frequency domain and bits.A layered bandwidth allocation algorithm was proposed for multi-service in the enhanced system architecture of OFDM-PON,aiming at the efficient bandwidth resource utilization.Simulation results prove that the proposed bandwidth allocation algorithm outperforms the conventional algorithms without layered transmission significantly in terms of resource utilization and packet delay.…”
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Application-oriented resource matching model based on trust for internet-based virtual computing environment by Chun-ge ZHU, Xin-ran LIU, Yi-xian YANG, Hong ZHANG

“…In order to solve the problem of reasonable resource s ing in the virtual computing environment (iVCE),a resource matching model,based on trust “resource sliding window” model,was proposed.Firstly,the resources were classified in advance by their static properties.Then the resource nodes were evaluated by a trust model based on the time window and Bayesian algorithm,and the evaluated results as well as the resource load were fused to determine the levels of the dynamic real-time performance.Finally,the scheduling resources were allocated according to the comprehensive assessment of the static and dynamic properties of the resource nodes.The proposed model provides a basis of scheduling strategy for different resources with different tasks and attributes,thus achieving the goal of “proper resources’ serving proper tasks”.Simulation results show that,compared the previous scheduling algorithm,the proposed model has better performance in the success rate of task execution and the rate of resource utilization.…”
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Research on load-balanced construction algorithm of logical carrying network by Hao-xue WANG, Ming JIANG, Ji FU

“…To improve the extensibility of network service,constructing algorithm of logical carrying network was pro-posed by mapping the demands of network service into substrate network.To solve the problem of construction efficiency,on-demand carrying strategy was introduced to provide different resources to meet different service requirements.Based on available resource and current link load,an improved multi-commodity flow model was proposed to compute the re-source allocation.Simulation results indicate this al ithm can improve network service capability from construction success rate and average construction profit.…”
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RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications by Stella N. Arinze, Augustine O. Nwajana

“…This algorithm dynamically managed key network resources, including spectrum allocation, load balancing, and energy consumption, ensuring efficient operation under varying network conditions. …”
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A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation by Zimo Zhu, Chuanqiang Yu, Junti Wang

“…Efficient task allocation remains a fundamental challenge in multi-agent systems, particularly under resource constraints and large-scale deployments. …”
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Exploration and Analysis of Resource Scheduling and Management Mode in Future Space TT＆C Network by Hong ZHANG, Jia XUE, Bo REN, Xiaojun DU, Meng XUE

“…The running mode and existing issues of current resource scheduling system operation model of TT＆amp;C network were discussed firstly.Then the development trends of future resource scheduling and management models were summarized, included integration of data transmission, automation of system operation, intelligence of algorithm allocation, coexistence of random access and pre-allocation.In the end, accorded to the management demands of integration, automation and intelligentization, the operating framework of the future resource scheduling model was put forward.After that, the key technologies which need to be broken through of the framework were researched deeply.And the further construction object of resource scheduling research was proposed in order to provided a reference for subsequent engineering applications.…”
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Multi-Satellite Task Parallelism via Priority-Aware Decomposition and Dynamic Resource Mapping by Shangpeng Wang, Chenyuan Zhang, Zihan Su, Limin Liu, Jun Long

“…First, we introduce a graph theoretic model to represent the task dependency and priority relationships explicitly, combined with a novel algorithm for task decomposition. Meanwhile, we construct a resource allocation model based on game theory and combine it with deep reinforcement learning to achieve resource mapping in a dynamic environment. …”
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An Integrated Optimization Method for Resource-Constrained Schedule Compression Under Uncertainty in Construction Projects by Firas Takleef, Omar Ayadi, Faouzi Masmoudi

“…An integrated solution that considers the shortening of scheduling and the planning of resource integration was conceived. The proposed method allocates the resources and the execution mode costs effectively in order to minimize the project duration and the cost of construction activities. …”
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Random Regret-Minimization Model for Emergency Resource Preallocation at Freeway Accident Black Spots by Siliang Luan, Qingfang Yang, Wei Wang, Zhongtai Jiang, Ruru Xing, Ruijuan Chu

“…At the same time, we propose a three-stage random regret-minimization (RRM) model to minimize the regret value of the attribute of overall response time, cost, and demand, which allocates limited emergency resources to more likely to happen accident spots. …”
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Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks by Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing

“…We model the security resource management problem as a mixed integer programming problem, which is decomposed into three subproblems, distributed power allocation, distributed subchannel allocation, and distributed subchannel pairing, and then solved it in constraint particle swarm optimization (CPSO), binary CPSO (B_CPSO), and classic Hungarian algorithm (CHA) method, respectively. …”
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