Multi-objective network resource allocation method based on fractional PID control

被引：0
|
作者：
Ni, Xintong [1 ]
Wei, Yiheng [1 ]
Zhou, Shuaiyu [1 ]
Tao, Meng [1 ]
机构：
[1] Southeast Univ, Sch Math, Nanjing 211189, Peoples R China
来源：
SIGNAL PROCESSING | 2025年 / 227卷
基金：
中国国家自然科学基金;
关键词：
Multi-objective optimization; Resource allocation; Distributed algorithms; PID; Fractional calculus; DISTRIBUTED OPTIMIZATION; ORDER; ALGORITHM; CONSENSUS; CALCULUS; SYSTEMS;
D O I：
10.1016/j.sigpro.2024.109717
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a fractional proportional-integral-derivative (PID) distributed optimization algorithm is proposed to solve the network resource allocation problem. The algorithm combines fractional calculus and the concept of PID control, which improves the convergence rate and increases the freedom, flexibility and potential with multiple parameters compared with the existing algorithms. Meanwhile, the results of simulation study verified the efficiency and superiority of the algorithm.
引用
收藏
页数：8
相关论文
共 50 条
  • [31] Downlink Resource Allocation with Multi-Objective Optimization in OFDMA Systems
    Zhengyu Song
    Shujuan Hou
    Siliang Wu
    Journal of Harbin Institute of Technology, 2015, 22 (01) : 68 - 72
  • [32] Multi-Objective Resource Mapping and Allocation for Volunteer Cloud Computing
    Mengistu, Tessema M.
    Che, Dunren
    Lu, Shiyong
    2019 IEEE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE CLOUD 2019), 2019, : 344 - 348
  • [33] A multi-objective resource allocation problem in dynamic PERT networks
    Azaron, Amir
    Tavakkoli-Moghaddam, Reza
    APPLIED MATHEMATICS AND COMPUTATION, 2006, 181 (01) : 163 - 174
  • [34] Downlink resource allocation with multi-objective optimization in OFDMA systems
    School of Information and Electronics, Beijing Institute of Technology, Beijing, China
    J. Harbin Inst. Technol., 1 (68-72):
  • [35] Optimization control and modeling of fractional order PID turbine speed governing system based on multi-objective hybrid algorithm
    Yang, Jinkuo
    Shi, Hongjie
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 101 - 101
  • [36] Optimal PID φ axis Control for UAV Quadrotor based on Multi-Objective PSO
    Alexis Cardenas, Javier
    Eduardo Carrero, Uriel
    Camilo Camacho, Edgar
    Manuel Calderon, Juan
    IFAC PAPERSONLINE, 2022, 55 (14): : 101 - 106
  • [37] Solving Multi-Objective Resource Allocation Problem Using Multi-Objective Binary Artificial Bee Colony Algorithm
    Yilmaz Acar, Zuleyha
    Basciftci, Fatih
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (09) : 8535 - 8547
  • [38] Multi-objective optimization method based on network response surface
    Liu, Daohua
    Zhang, Wenfeng
    Wang, Shuli
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2012, 40 (09): : 57 - 61
  • [39] A Multi-Objective Degree-Based Network Anonymization Method
    Halawi, Ola N.
    Abu-Khzam, Faisal N.
    Thoumi, Sergio
    ALGORITHMS, 2023, 16 (09)
  • [40] Solving Multi-Objective Resource Allocation Problem Using Multi-Objective Binary Artificial Bee Colony Algorithm
    Zuleyha Yilmaz Acar
    Fatih Başçiftçi
    Arabian Journal for Science and Engineering, 2021, 46 : 8535 - 8547
12345