IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i7p1550147716657923.html
   My bibliography  Save this article

A novel multi-objective coverage optimization memetic algorithm for directional sensor networks

Author

Listed:
  • Aimin Wang
  • Yingnan Gao
  • Jing Wu
  • Geng Sun
  • Wenjuan Jia

Abstract

For the target problem of a directional wireless sensor network, the greedy algorithm can easily fall into the local optimal solution, whereas the genetic algorithm must forecast the lifetime of the upper bound of the network. We propose a novel multi-objective coverage optimization memetic algorithm that encodes the solutions as chromosomes and simulates the biological evolution process in search for a favourable solution to address the aforementioned problems. Experimental results show that the proposed algorithm can prolong the network lifetime more effectively than similar heuristic algorithms in other studies.

Suggested Citation

  • Aimin Wang & Yingnan Gao & Jing Wu & Geng Sun & Wenjuan Jia, 2016. "A novel multi-objective coverage optimization memetic algorithm for directional sensor networks," International Journal of Distributed Sensor Networks, , vol. 12(7), pages 15501477166, July.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:7:p:1550147716657923
    DOI: 10.1177/1550147716657923
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147716657923
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147716657923?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:12:y:2016:i:7:p:1550147716657923. 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.