In the realm of industrial production, wireless sensor networks (WSNs) have seen extensive application. This paper addresses the significant localization errors associated with traditional DV-Hop algorithms by proposing an enhanced DV-Hop localization method that utilizes the Spider Wasp Optimization (SWO) algorithm. We enhance hop count estimation by incorporating a weighting factor derived from the number of neighboring nodes, thereby optimizing each hop distance estimation to improve localization accuracy. Second, SWO replaces the traditional least squares method for estimating unknown node positions, improving calculation accuracy. Simulation experiments were conducted to compare our algorithm with three improved DV-Hop algorithms. The results show that our approach is significantly better than the conventional DV hop algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    DV-Hop localization algorithm based on improved spider wasp optimization algorithm


    Contributors:
    Wang, Xiang (author) / Wu, Zhenjie (author) / Wang, Gang (author) / Jiang, Chengzhe (author)


    Publication date :

    2024-10-23


    Size :

    505635 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Modified Social Spider Optimization Algorithm

    Li, Rongyu / Dai, Ruiwen | British Library Online Contents | 2017



    Bionic spider robot based on YOLOv8 algorithm

    LI CHANGYUN / XIAO JIALE / GAO GUOGANG et al. | European Patent Office | 2024

    Free access

    Analysis and verification of terrain coverage algorithm based on wasp swarm

    Zhang,G.Y. / Zeng,J.C. / Lanzhou Univ.of Technol.,CN et al. | Automotive engineering | 2012