[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/taf/tjsmxx/v16y2022i3p251-262.html
   My bibliography  Save this article

Simulation of the self-similar least-action walk model

Author

Listed:
  • Adán G. Medrano-Chávez
  • Elizabeth Pérez-Cortés
  • Miguel Lopez-Guerrero
Abstract
Simulation of ad hoc networks requires the use of a realistic human mobility model to give credibility to computer-based performance evaluations. To this end, a number of models have appeared in the literature from which the self-similar least-action walk model (SLAW) stands out as an approach mainly intended to incorporate several statistical properties of human motion. Although it is generally accepted that this model is able to produce realistic traces, so far not enough attention has been given towards creating an implementation with an upfront clear design that is also reliable and computationally efficient. This paper addresses these issues by presenting the design, implementation, and validation of a SLAW simulator. This simulator follows the discrete-event simulation paradigm for generation of mobility traces and is flexible enough for incorporating future walker models. This simulator can be used, among other purposes, to perform computer-based studies of networking technologies where human mobility plays a major role.

Suggested Citation

  • Adán G. Medrano-Chávez & Elizabeth Pérez-Cortés & Miguel Lopez-Guerrero, 2022. "Simulation of the self-similar least-action walk model," Journal of Simulation, Taylor & Francis Journals, vol. 16(3), pages 251-262, May.
    • Handle: RePEc:taf:tjsmxx:v:16:y:2022:i:3:p:251-262
    DOI: 10.1080/17477778.2020.1790998
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17477778.2020.1790998
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17477778.2020.1790998?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjsmxx:v:16:y:2022:i:3:p:251-262. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjsm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.