Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 11, 1244(2024)

A sensor optimization deployment method based on Collaborative evolution Multi-Objective Particle Swarm Optimization

ZHANG Yuxiang... GUO Lantu and LIU Yuchao |Show fewer author(s)
Author Affiliations
  • China Research Institute of Radiowave Propagation, Qingdao Shandong 266075, China
  • show less
    References(21)

    [1] [1] MA Xianyong, DONG Zejiao, QUAN Weiwen, et al. Real-time assessment of asphalt pavement moduli and traffic loads using monitoring data from built-in sensors: optimal sensor placement and identification algorithm[J]. Mechanical Systems and Signal Processing, 2023, 187(1): 109930. doi: 10.1016/j.ymssp.2022.109930.

    [2] [2] LI R L, MEHR N, HOROWITZ R. Submodularity of optimal sensor placement for traffic networks[J]. Transportation Research Part B: Methodological, 2023, 171(1): 29-43. doi: 10.1016/j.trb.2023.02.008.

    [4] [4] XIE Jiapin, FU Qiyong, JIA Riheng, et al. Optimal energy and delay tradeoff in UAV-enabled wireless sensor networks[J]. Drones, 2023, 7(6): 368. doi: 10.3390/drones7060368.

    [5] [5] SEREDYSKI F, KULPA T, HOFFMANN R, et al. Coverage and lifetime optimization by self-optimizing sensor networks[J]. Sensors, 2023, 23(8): 3930. doi: 10.3390/s23083930.

    [6] [6] TAKYU O, SHIRAI K, FUJII T, et al. Adaptive channel assignment with predictions of sensor results and channel occupancy ratio in PhyC-SN[J]. IEEE Access, 2019, 7(1): 44645-44658. doi: 10.1109/ACCESS.2019.2909525.

    [7] [7] SANGWAN A, SINGH R P. Survey on coverage problems in wireless sensor networks[J]. Wireless Personal Communications, 2015, 80(4): 1475-1500. doi: 10.1007/s11277-014-2094-3.

    [9] [9] YARINEZHAD R, HASHEMI S N. A sensor deployment approach for target coverage problem in wireless sensor networks[J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14(5): 5941-5956. doi: 10.1007/s12652-020-02195-5.

    [10] [10] TOSSA F, ABDOU W, ANSARI K, et al. Area coverage maximization under connectivity constraint in wireless sensor networks[J]. Sensors, 2022, 22(5): 1712. doi: 10.3390/s22051712.

    [11] [11] LIU Zhixiong, ZHOU Wei. Energy-efficient algorithms for path coverage in sensor networks[J]. Sensors, 2023, 23(11): 5026. doi: 10.3390/s23115026.

    [12] [12] LAIDOUI F M B, SI-TAYEB F B, BENGHERBIA N, et al. Nash-Pareto genetic algorithm for the frequency assignment problem[J]. Procedia Computer Science, 2018(126): 282-291. doi: 10.1016/j.procs.2018.07.262.

    [13] [13] DAOUDI A, BENATCHBA K, BESSEDIK M, et al. Performance assessment of biogeography-based multi-objective algorithm for frequency assignment problem[J]. International Journal of Bio-Inspired Computation, 2021, 18(4): 199-209. doi: 10.1504/ijbic.2021.119981.

    [14] [14] FERREIRA B, ANTUNES A, NELSON C, et al. Multi-objective optimization of pressure sensor location for burst detection and network calibration[J]. Computers & Chemical Engineering: An International Journal of Computer Applications in Chemical Engineering, 2022(162): 107826-2-10.

    [15] [15] FAKHOURI A A, SOLTANI R. Multi-objective robust optimization for the traffic sensors location problem[J]. IEEE Access, 2021(9): 6225-6238. doi: 10.1109/access.2020.3047045.

    [16] [16] SRINIVAS N, DEB K. Multiobjective optimization using nondominated sorting in genetic algorithms[J]. Evolutionary Computation, 1994, 2(3): 221-248. doi: 10.1162/evco.1994.2.3.221.

    [17] [17] ZHANG Qingfu, LI Hui. MOEA/D: a Multiobjective Evolutionary Algorithm based on Decomposition[J]. IEEE Transactions on Evolutionary Computation, 2007, 11(6): 712-731. doi: 10.1109/TEVC.2007.892759.

    [18] [18] COELLO C A C, PULIDO G T, LECHUGA M S. Handling multiple objectives with particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 256-279. doi: 10.1109/TEVC.2004.826067.

    [19] [19] LAUMANNS M, THIELE L, DEB K. Combining convergence and diversity in evolutionary multiobjective optimization[J]. Evolutionary Computation, 2002, 10(3): 263-282. doi: 10.1162/106365602760234108.

    [20] [20] TIAN Ye, ZHANG Tao, XIAO Jianhua, et al, A coevolutionary framework for constrained multiobjective optimization problems[J]. IEEE Transactions on Evolutionary Computation, 2021, 25(1): 102-116. doi: 10.1109/TEVC.2020.3004012.

    [21] [21] XU Haotian, JI Weidong, SUN Xiaoqing, et al. A PSO algorithm with inertia weight decay by normal distribution[J]. Journal of Shenzhen University Science and Engineering, 2020, 37(2): 208-213. doi: 10.3724/sp.j.1249.2020.02208.

    [22] [22] DUAN Youxiang, CHEN Ning, CHANG Lunjie, et al. CAPSO: Chaos Adaptive Particle Swarm Optimization algorithm[J]. IEEE Access, 2022(10): 29393-29405. doi: 10.1109/access.2022.3158666.

    [23] [23] WANG Ziyue, SHEN Liangshan, LI Xinyu, et al. An improved multi-objective firefly algorithm for energy-efficient hybrid flowshop rescheduling problem[J]. Journal of Cleaner Production, 2023(385): 135738. doi: 10.1016/j.jclepro.2022.135738.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Yuxiang, GUO Lantu, LIU Yuchao. A sensor optimization deployment method based on Collaborative evolution Multi-Objective Particle Swarm Optimization[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(11): 1244

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 20, 2023

    Accepted: Jan. 3, 2025

    Published Online: Jan. 3, 2025

    The Author Email:

    DOI:10.11805/tkyda2023383

    Topics