Towards probabilistic localization using airborne mobile anchors

Ahmad, Izanoordina, Bergmann, Neil W., Jurdak, Raja and Kusy, Branislav (2016). Towards probabilistic localization using airborne mobile anchors. In: 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, Sydney, NSW, Australia, (). 14-18 March 2016. doi:10.1109/PERCOMW.2016.7457052


Author Ahmad, Izanoordina
Bergmann, Neil W.
Jurdak, Raja
Kusy, Branislav
Title of paper Towards probabilistic localization using airborne mobile anchors
Conference name 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Conference location Sydney, NSW, Australia
Conference dates 14-18 March 2016
Convener IEEE
Proceedings title 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2016
Year available 2016
Sub-type Fully published paper
DOI 10.1109/PERCOMW.2016.7457052
Open Access Status Not Open Access
ISBN 9781509019410
Total pages 4
Collection year 2017
Language eng
Abstract/Summary 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%.
Keyword Airborne mobile anchor
Blind node
Deterministic multilateration
Localization
Probabilistic gradient descent
Wireless Sensor Networks
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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