IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v394y2014icp379-385.html
   My bibliography  Save this article

Effects of efficient edge rewiring strategies on network transport efficiency

Author

Listed:
  • Jiang, Zhong-Yuan
  • Liang, Man-Gui
  • An, Wen-Juan

Abstract

The transport efficiency of a network strongly depends on the underlying structure. The traffic capacity of one real network may be actually very small due to the heterogeneous degree distribution of the network under the global shortest path routing strategy. For the purpose of improving the traffic capacity of the network, in this paper, we propose three edge rewiring strategies. Extensive simulations under the efficient routing (ER) and the shortest path (SP) routing are applied to verify the effectiveness of the proposed edge rewiring mechanisms. It is found that the traffic capacity of the network can be substantially enhanced and the edge rewiring strategies are beneficial to the improvement of overall traffic handling and delivering ability of the network, especially under the SP routing strategy. The edge rewiring methods can be used incrementally to ameliorate the network transportation performance by network service providers.

Suggested Citation

  • Jiang, Zhong-Yuan & Liang, Man-Gui & An, Wen-Juan, 2014. "Effects of efficient edge rewiring strategies on network transport efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 379-385.
    • Handle: RePEc:eee:phsmap:v:394:y:2014:i:c:p:379-385
    DOI: 10.1016/j.physa.2013.09.069
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437113009461
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2013.09.069?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ma, Jinlong & Kong, Lingkang & Li, Hui-Jia, 2023. "An effective edge-adding strategy for enhancing network traffic capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    2. Kumari, Suchi & Saroha, Abhishek & Singh, Anurag, 2020. "Efficient edge rewiring strategies for enhancement in network capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

    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:eee:phsmap:v:394:y:2014:i:c:p:379-385. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.