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Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network
Published 2015-02-01Get full text
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Multicast resource allocation scheme considering source-coding characteristic in OFDM systems
Published 2010-01-01Get full text
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Multicast resource allocation scheme considering source-coding characteristic in OFDM systems
Published 2010-01-01Get full text
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Joint source–channel rate allocation with unequal error protection for space image transmission
Published 2017-07-01“…A joint rate allocation algorithm based on the packet loss rate is proposed. …”
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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants
Published 2025-01-01“…To address the challenges of system operation optimization and resource allocation caused by the integration of a large amount of renewable energy on the supply side of the energy system into VPPs and the flexible and changeable load on the demand side, this paper proposes a distributed robust optimization method that simultaneously considers the uncertainties of both the source and the load. …”
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Multi-objective allocation optimization model for water resources from a coal mine in the Inner Mongolia-Shaanxi contiguous area
Published 2025-07-01“…To overcome these limitations, using surface water, groundwater, mine water, and reclaimed water as water sources, this study developed a multi-objective allocation optimization model considering economic and environmental benefits and equity for water resources in coal mining areas. …”
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Outage probability based power allocation and relay selection algorithm in cooperative communication
Published 2013-10-01“…The relay selection and power optimization of multi-relay cooperative communication network under a joint sum power constraint was considered.A low complexity lay selection and power allocation algorithm was also pro-posed in amplify-and-forward cooperative network aiming at minimizing the probability of system outage.In this scheme,optimal power allocation among source and relay nodes was conducted.According to the SNR,an optimal relay node set was selected and a power allocation factor leading to lower system outage probability was obtained by steepest descent method.This algorithm did not need large quantity of l statistical information and equal power condition.It can obtain the best set of relay nodes under optimal power allocation only by solving the arranged matrix on the basis of Sig-nal to Noise Ratio.Simulation results show that the proposed relay select and power allocation algorithm,under the same conditions,compared in the outage probability in erent relay node set among several algorithms,achieves better performance in outage probability and power efficiency.…”
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Primary-user behavior based joint routing and channel allocation algorithm in cognitive radio networks
Published 2011-11-01“…To resolve the unstable routing problem due to the variation of spectrum availability caused by primary users’ behaviors in cognitive radio networks (CRN),a primary-user behavior based joint routing and channel allocation (PUB-JRCA) algorithm was proposed.The PUC-JRCA algorithm characterized the primary-user behavior by using the call-based model.According to the route discovery mechanism in the dynamic source routing protocol,the destination node selected the route which received the least impact from primary-user behaviors after receiving a number of route requests.Then,the destination sent back the route reply packet (RREP) along the selected route,and the channel allocation was performed when the RREP passed each node on this route.Theoretic analyses prove that the expected available transmission time for the packet delivery is inversely proportional to the probability that PU is active.Moreover,the computational complexity of the proposed algorithm is proportional to the number of nodes in the CRN.Simulation results show that the proposed algorithm has higher packet delivery ratio and lower average packet delay than the Gymkhana routing scheme.…”
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Forecast-based resource reconfiguration algorithm for network virtualization
Published 2011-01-01Get full text
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Demand Response: A Promising Solution to DG Allocation Problem
Published 2024-02-01“…In this paper, a comprehensive algorithm using modified invasive weed optimization is introduced for allocating distribution generation (DG) sources along with considering demand response (DR). …”
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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects
Published 2023-03-01“…This study proposes a SAHP based on group decision making (GSAHP) to prioritise the sources of uncertainty in bridge construction projects. …”
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Power losses reduction by optimal allocation of renewable distributed generation in distribution networks
Published 2023-06-01“…With the growing integration of decentralized renewable power generation into the distribution network, it becomes an active circuit where power flows and voltages are influenced not only by loads but also by sources. In distribution networks (DN), the optimal allocation of Renewable Distributed Generation (DG) units can significantly improve system performance by reducing power losses and enhancing the voltage profile and stability of the radial distribution network. …”
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Multi-objective optimal probabilistic planning in distribution systems considering load growth
Published 2025-01-01“…The optimization results based on proposed algorithm are compared with some existing algorithms.…”
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Optimal Allocation of Hybrid Renewable Distributed Generation with Battery Energy Storage System Using MOEA/D-DRA Algorithm
Published 2023-01-01“…The proposed formulation for a Multi-objective Optimization of Hybrid Energy Sources allocation problem solved by the MOEA/D-DRA algorithm provides improved benefits like minimum annual energy loss, investment cost, CO2 emission, EENS by the DG units, and enhanced system voltage stability and voltage profile.…”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response
Published 2024-06-01“…Then, based on the characteristics of energy storage devices and incentive-based demand-side response resources at different time scales, it is proposed to use the improved VMD algorithm to make a multi-scale decomposition and combined reconstruction of the net load curves, and the improved whale optimization algorithm is used to solve the optimal allocation model with the objective of the minimum sum of the total system cost and active power fluctuation value. …”
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An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations
Published 2025-03-01“…Therefore, we introduced a multi-source LULC data integration approach that incorporates spatial dependencies, employing a fully connected neural network alongside geographical environmental variables to enhance the accuracy of land use data. …”
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