IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i6p1550147717711671.html
   My bibliography  Save this article

DANCER: The routing algorithm in delay tolerant networks based on dynamic and polymorphic combination of dimensions and energy consideration

Author

Listed:
  • Jianxin Jia
  • Guangzhong Liu
  • Dezhi Han

Abstract

Be differ from traditional networks, the nodes in delay tolerant networks are connected intermittently and they are mobile continuously, which result in high transmission delay and low delivery ratio. In addition, the energy of the mobile node is finite. Due to these constraints, efficient routing in delay tolerant networks is a tough task. In order to achieve higher routing efficiency in delay tolerant networks, we propose DANCER in this article, which utilizes a binary topology for more accurate and energy-efficient routing in delay tolerant networks. First, inspired by the concept of dimension in general relativity; the distance is diverse in different dimensions. Each node builds its own topology and the nodes in each topology are ranked in the top s in multiple dimensions. The link weight, which reflects the packet delivery ability between the two nodes in the topology, is defined by the reciprocals of ranking values of the two nodes in multiple dimensions and the reciprocals of important coefficients of each dimension. Second, due to each node has limited energy, Nash equilibrium solution is utilized to simplify the topology to determine which links are useful for a specific packet relaying. After simplification, each node obtains the binary topology which consists of links where flag bits are respectively 1 or 0. Finally, based on the binary topology, each node could decide the suitable routing for every specific packet sending. The result of the simulation demonstrates that DANCER outperforms benchmark routing algorithms in the respect of average delay, packets hit rate, and routing cost.

Suggested Citation

  • Jianxin Jia & Guangzhong Liu & Dezhi Han, 2017. "DANCER: The routing algorithm in delay tolerant networks based on dynamic and polymorphic combination of dimensions and energy consideration," International Journal of Distributed Sensor Networks, , vol. 13(6), pages 15501477177, June.
  • Handle: RePEc:sae:intdis:v:13:y:2017:i:6:p:1550147717711671
    DOI: 10.1177/1550147717711671
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717711671
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147717711671?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
    ---><---

    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:sae:intdis:v:13:y:2017:i:6:p:1550147717711671. 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: SAGE Publications (email available below). General contact details of provider: .

    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.