Towards probabilistic localization using airborne mobile anchors

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

doi:10.1109/PERCOMW.2016.7457052

Towards probabilistic localization using airborne mobile anchors

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

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

5 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 language	English
Title of host publication	2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781509019410
DOIs	https://doi.org/10.1109/PERCOMW.2016.7457052
Publication status	Published - 19 Apr 2016
Externally published	Yes
Event	13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 - Sydney, Australia Duration: 14 Mar 2016 → 18 Mar 2016

Other

Other	13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Country/Territory	Australia
City	Sydney
Period	14/03/16 → 18/03/16

Keywords

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

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10.1109/PERCOMW.2016.7457052

Cite this

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title = "Towards probabilistic localization using airborne mobile anchors",

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%.",

keywords = "airborne mobile anchor, blind node, deterministic multilateration, localization, probabilistic gradient descent, Wireless Sensor Networks",

author = "Izanoordina Ahmad and Bergmann, {Neil W.} and Raja Jurdak and Branislav Kusy",

year = "2016",

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doi = "10.1109/PERCOMW.2016.7457052",

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booktitle = "2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 ; Conference date: 14-03-2016 Through 18-03-2016",

}

Ahmad, I, Bergmann, NW, 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. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-4, 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, Sydney, Australia, 14/03/16. https://doi.org/10.1109/PERCOMW.2016.7457052

Towards probabilistic localization using airborne mobile anchors. / Ahmad, Izanoordina; Bergmann, Neil W.; Jurdak, Raja et al.
2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 1-4.

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

TY - GEN

T1 - Towards probabilistic localization using airborne mobile anchors

AU - Ahmad, Izanoordina

AU - Bergmann, Neil W.

AU - Jurdak, Raja

AU - Kusy, Branislav

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Y1 - 2016/4/19

N2 - 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%.

AB - 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%.

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KW - blind node

KW - deterministic multilateration

KW - localization

KW - probabilistic gradient descent

KW - Wireless Sensor Networks

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DO - 10.1109/PERCOMW.2016.7457052

M3 - Conference proceeding contribution

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BT - 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016

Y2 - 14 March 2016 through 18 March 2016

ER -

Towards probabilistic localization using airborne mobile anchors

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