IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v67y2018i2d10.1007_s11235-017-0332-1.html
   My bibliography  Save this article

Self-organizing technique for improving coverage in connected mobile objects networks

Author

Listed:
  • Sofiane Hamrioui

    (University of Haute Alsace)

  • Pascal Lorenz

    (University of Haute Alsace)

  • Jaime Lloret

    (Universidad Politecnica de Valencia)

Abstract

Despite the multiple benefits offered today by connected mobile objects networks (CMONs), some constraints continue to limit their development and to degrade their applications and services’ performance. Given their limited energy, some or many objects may stop functioning which leads to the deterioration of network functionalities such as monitoring, detection and transfer of data. It is in this context that our work is situated, namely the improvement of applications performance and the quality of service (QoS) within CMONs, by exploiting some communication environment parameters and geometry techniques. We propose a new technique called self-organization area coverage (SOAC) for CMONs which aims to ensure maximum coverage in the network while optimizing the exploited resources. SOAC has been evaluated and compared not only to the network without improvement but to two other solutions proposed in the literature. The obtained results show a clear improvement in terms of network coverage and several QoS parameters.

Suggested Citation

  • Sofiane Hamrioui & Pascal Lorenz & Jaime Lloret, 2018. "Self-organizing technique for improving coverage in connected mobile objects networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(2), pages 179-193, February.
  • Handle: RePEc:spr:telsys:v:67:y:2018:i:2:d:10.1007_s11235-017-0332-1
    DOI: 10.1007/s11235-017-0332-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-017-0332-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-017-0332-1?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.

    References listed on IDEAS

    as
    1. Gaddafi Abdul-Salaam & Abdul Hanan Abdullah & Mohammad Hossein Anisi & Abdullah Gani & Abdulhameed Alelaiwi, 2016. "A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 61(1), pages 159-179, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Gholipour & A. T. Haghighat & M. R. Meybodi, 2018. "Congestion avoidance in cognitive wireless sensor networks using TOPSIS and response surface methodology," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(3), pages 519-537, March.
    2. Sunil Kr. Jha & Egbe Michael Eyong, 2018. "An energy optimization in wireless sensor networks by using genetic algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(1), pages 113-121, January.
    3. Houriya Hojjatinia & Mohsen Jahanshahi & Saeedreza Shehnepoor, 2021. "Improving lifetime of wireless sensor networks based on nodes’ distribution using Gaussian mixture model in multi-mobile sink approach," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 255-268, May.
    4. Damianos Gavalas & Ioannis E. Venetis & Charalampos Konstantopoulos & Grammati Pantziou, 2016. "Energy-efficient multiple itinerary planning for mobile agents-based data aggregation in WSNs," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(4), pages 531-545, December.
    5. Babayo, Aliyu Aliyu & Anisi, Mohammad Hossein & Ali, Ihsan, 2017. "A Review on energy management schemes in energy harvesting wireless sensor networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1176-1184.
    6. Alireza Abdollahi & Karim Rejeb & Abderahman Rejeb & Mohamed M. Mostafa & Suhaiza Zailani, 2021. "Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis," Sustainability, MDPI, vol. 13(21), pages 1-22, October.

    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:spr:telsys:v:67:y:2018:i:2:d:10.1007_s11235-017-0332-1. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.