Optimizing the Localization of a Wireless Sensor Network in Real Time Based on a Low Cost Microcontroller
Guo, H. Low, K.-S. Nguyen, H.-A.
H. Guo is with the School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore (e-mail: k.s.low@ieee.org).;
This paper appears in: Industrial Electronics, IEEE Transactions on Accepted for future publication
First Published:
2009-05-15
ISSN: 0278-0046
Digital Object Identifier: 10.1109/TIE.2009.2022073
Abstract
In this paper, a low cost microcontroller based system that uses the pedometer measurement and communication ranging between neighboring nodes of a wireless sensor network for localization is presented. Unlike most of the existing methods that require good network connectivity, the proposed system works well in a sparse network. As the localization requires solving of nonlinear equations in real time, two optimization approaches namely the Gauss Newton algorithm and the Particle Swarm Optimization have been studied. The localization and optimization algorithms have been implemented with a microcontroller. The performance has been evaluated with experimental results.
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