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A locality-based range-free localization algorithm for anisotropic wireless sensor networks

Author

Listed:
  • Xuan Liu

    (Hunan University)

  • Shigeng Zhang

    (Central South University)

  • Kai Bu

    (Zhejiang University)

Abstract

Location discovery is one of the fundamental services in Internet of things built with wireless sensor networks (WSNs). In this paper, we propose AnSuper, a novel range-free localization algorithm that provides accurate location estimates in anisotropic WSNs. In AnSuper, every anchor first selects a set of friendly anchors to which its distance estimates can be accurately obtained. These anchors are then broadcasted to neighboring common nodes, with which they can obtain accurate distance estimates to the anchors by using a novel locality-based algorithm and consequently calculate their positions. We discuss how to suppress error accumulation in the localization process. AnSuper can handle multiple anisotropy factors, including uneven nodal distribution and irregularity of the deployment region. Simulation results show that, compared with state-of-the-art solutions, AnSuper improves localization accuracy by more then 30 %.

Suggested Citation

  • Xuan Liu & Shigeng Zhang & Kai Bu, 2016. "A locality-based range-free localization algorithm for anisotropic wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 3-13, May.
    • Handle: RePEc:spr:telsys:v:62:y:2016:i:1:d:10.1007_s11235-015-9978-8
    DOI: 10.1007/s11235-015-9978-8
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    Cited by:

    1. Gaurav Sharma & Ashok Kumar, 2018. "Fuzzy logic based 3D localization in wireless sensor networks using invasive weed and bacterial foraging optimization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(2), pages 149-162, February.
    2. Shilpi & Arvind Kumar, 2023. "A localization algorithm using reliable anchor pair selection and Jaya algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 277-289, February.
    3. Zixi Jia & Bo Guan, 2018. "Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(3), pages 15501477187, March.

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