This paper probes into the issue of short network lifetime caused by unbalanced routing energy consumption of wireless sensor network, and discovers that the reason for the problem is unbalanced network load. To tackle the issue, the author constructs a load-balanced vector field by the non-viscous fluid model in fluid mechanics, and optimizes the vector field-based energy routing by artificial fish-swarm algorithm (AFSA). On this basis, the author builds up an AFSA-inspired vector field-based energy routing algorithm based on fluid mechanics. Besides, the author conducts simulation analysis of the algorithm and common routing algorithms. Through comparison, it is discovered that the routing algorithm proposed by this paper has higher energy efficiency than the traditional routing algorithms, which prolongs the lifetime of the wireless sensor network.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    An AFSA-Inspired Vector Energy Routing Algorithm Based on Fluid Mechanics


    Beteiligte:
    Li, Ming (Autor:in) / Xu*, Jiang (Autor:in)

    Erscheinungsdatum :

    2020-01-01


    Anmerkungen:

    Tehnički vjesnik ; ISSN 1330-3651 (Print) ; ISSN 1848-6339 (Online) ; Volume 27 ; Issue 1


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    UAV Photogrammetry and AFSA-Elman Neural Network in Slopes Displacement Monitoring and Forecasting

    Wang, Shuhong / Zhang, Zishan / Ren, Yipeng et al. | Online Contents | 2020


    UAV Photogrammetry and AFSA-Elman Neural Network in Slopes Displacement Monitoring and Forecasting

    Wang, Shuhong / Zhang, Zishan / Ren, Yipeng et al. | Springer Verlag | 2020



    Bio‐Inspired Routing in VANET

    Aggarwal, Alankrita / Gaba, Shivani / Nagpal, Shally et al. | Wiley | 2021