Towards probabilistic localization using airborne mobile anchors

Izanoordina Ahmad, Neil W. Bergmann, Raja Jurdak, Branislav Kusy

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

Abstract

Localization is fundamental for many wireless sensor network applications. Localizing ground-based fixed nodes through an airborne mobile anchor node is particularly useful for sensors deployed from the air, yet its dynamics are not well-understood. In this work-in-progress paper, we propose a new formulation for probabilistic localization using gradient descent, and compare it with a deterministic multilateration algorithm. We perform simulations to evaluate the localization accuracy using designated airborne mobile anchor's position. We also study the impact in both favorable and poor geometrical position of the mobile anchor node during localization. Results to date show that probabilistic gradient descent algorithm outperforms deterministic multilateration in all scenarios, with localization error reduced by up to 75%.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Electronic)9781509019410
DOIs
Publication statusPublished - 19 Apr 2016
Externally publishedYes
Event13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016

Other

Other13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
CountryAustralia
CitySydney
Period14/03/1618/03/16

Keywords

  • airborne mobile anchor
  • blind node
  • deterministic multilateration
  • localization
  • probabilistic gradient descent
  • Wireless Sensor Networks

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  • Cite this

    Ahmad, I., Bergmann, N. W., Jurdak, R., & Kusy, B. (2016). Towards probabilistic localization using airborne mobile anchors. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 (pp. 1-4). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PERCOMW.2016.7457052