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Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic

  • Shuang Gu
  • , Yong Yue
  • , Carsten Maple
  • , Beisheng Liu
  • , Chengdong Wu
    • University of Bedfordshire
    • Northeastern University China

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    1 Citation (Scopus)

    Abstract

    The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.

    Original languageEnglish
    Title of host publicationProceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013
    PublisherIEEE Computer Society
    Pages396-401
    Number of pages6
    ISBN (Print)9781467352536
    DOIs
    Publication statusPublished - 2013
    Event2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013 - Shenyang, China
    Duration: 23 Jul 2013 → 25 Jul 2013

    Publication series

    NameProceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013

    Conference

    Conference2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013
    Country/TerritoryChina
    CityShenyang
    Period23/07/13 → 25/07/13

    Keywords

    • 3D
    • LWSNs
    • Probabilistic fuzzy logic

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