IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i2p1550147716689683.html

Two-hop distance estimation in wireless sensor networks

Author

Listed:
  • Sunyong Kim
  • Sun Young Park
  • Daehoon Kwon
  • Jaehyun Ham
  • Young-Bae Ko
  • Hyuk Lim

Abstract

In wireless sensor networks, the accurate estimation of distances between sensor nodes is essential. In addition to the distance information available for immediate neighbors within a sensing range, the distance estimation of two-hop neighbors can be exploited in various wireless sensor network applications such as sensor localization, robust data transfer against hidden terminals, and geographic greedy routing. In this article, we propose a two-hop distance estimation method, which first obtains the region in which the two-hop neighbor nodes possibly exist and then takes the average of the distances to the points in that region. The improvement in the estimation accuracy achieved by the proposed method is analyzed in comparison with a simple summation method that adds two single-hop distances as an estimate of a two-hop distance. Numerical simulation results show that in comparison with other existing distance estimation methods, the proposed method significantly reduces the distance estimation error over a wide range of node densities.

Suggested Citation

  • Sunyong Kim & Sun Young Park & Daehoon Kwon & Jaehyun Ham & Young-Bae Ko & Hyuk Lim, 2017. "Two-hop distance estimation in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 13(2), pages 15501477166, February.
  • Handle: RePEc:sae:intdis:v:13:y:2017:i:2:p:1550147716689683
    DOI: 10.1177/1550147716689683
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147716689683
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147716689683?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
    ---><---

    References listed on IDEAS

    as
    1. Guozhi Song & Dayuan Tam, 2015. "Two Novel DV-Hop Localization Algorithms for Randomly Deployed Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(7), pages 187670-1876, July.
    2. Ayong Ye & Yuanjing Ling & Li Xu & Xiaoliang Yang, 2013. "An Improved RFID-Based Localization Algorithm for Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(5), pages 390194-3901, May.
    3. Huafeng Wu & Lei Yang & Ling Liu & Ming Xu & Xinping Guan, 2013. "Real-Time Localization Algorithm for Maritime Search and Rescue Wireless Sensor Network," International Journal of Distributed Sensor Networks, , vol. 9(3), pages 791981-7919, March.
    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. Xiuwu Yu & Wei Peng & Yong Liu, 2023. "WSN node localization algorithm of sparrow search based on elite opposition-based learning and Levy flight," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(4), pages 521-531, December.
    2. Xing Wang & Yunfeng Nie, 2017. "An improved distance vector-Hop localization algorithm based on coordinate correction," International Journal of Distributed Sensor Networks, , vol. 13(11), pages 15501477177, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:sae:intdis:v:13:y:2017:i:2:p:1550147716689683. 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: 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.