Optimization Based Self-localization for IoT Wireless Sensor Networks

Beuchat, P., Hesse, H. , Domahidi, A. and Lygeros, J. (2018) Optimization Based Self-localization for IoT Wireless Sensor Networks. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 05-08 Feb 2018, pp. 712-717. ISBN 9781467399449 (doi: 10.1109/WF-IoT.2018.8355120)

Abstract

In this paper we propose an embedded optimization framework for the simultaneous self-localization of all sensors in wireless sensor networks making use of range measurements from ultra-wideband (UWB) signals. Low-power UWB radios, which provide time-of-arrival measurements with decimeter accuracy over large distances, have been increasingly envisioned for realtime localization of IoT devices in GPS-denied environments and large sensor networks. In this work, we therefore explore different non-linear least-squares optimization problems to formulate the localization task based on UWB range measurements. We solve the resulting optimization problems directly using non-linear-programming algorithms that guarantee convergence to locally optimal solutions. This optimization framework allows the consistent comparison of different optimization methods for sensor localization. We propose and demonstrate the best optimization approach for the self-localization of sensors equipped with off-the-shelf microcontrollers using state-of-the-art code generation techniques for the plug-and-play deployment of the optimal localization algorithm. Numerical results indicate that the proposed approach improves localization accuracy and decreases computation times relative to existing iterative methods.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Hesse, Dr Henrik
• Authors: Beuchat, P., Hesse, H., Domahidi, A., and Lygeros, J.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9781467399449
• Published Online: 07 May 2018
• Copyright Holders: Copyright © 2018 IEEE
• First Published: First published in 2018 IEEE 4th World Forum on Internet of Things (WF-IoT): 712-717
• Publisher Policy: Reproduced in accordance with the publisher copyright policy