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HyPAERLoc: Plausible Hybrid Localization for Wireless Sensor Networks

Authors:
Jakob Salzmann
Ralf Behnke
Philipp Gorski
Dirk Timmermann

Keywords: Wireless Sensor Networks, Localization, Log-normal Fading

Abstract:
Position estimation is one of the major challenges of sensor nodes in wireless sensor networks. By utilizing the information of messages of some pre-deployed location aware nodes, called beacons, and signal strength based distance estimation, a location unaware node is able to estimate its position. In the recent years, several localization methodologies have been developed. Due to imprecise distance estimations via received signal strength utilization, the localization accuracies of these algorithms differ, depending on the scenario conditions. In the proposed work, we developed an algorithmic approach to improve the localization accuracy of a least squares approach via two strategies. On the one hand, we tackle the imprecise distance measurements with a preceding plausibility check. On the other hand, we evaluate the achieved accuracy and improve the result by weaving the result of adaptive weighted centroid localization into a hybrid localization. The achieved localization accuracy beats the performance of the preceding approaches in all investigated scenarios, particularly for low beacon densities.

Pages: 51 to 57

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-144-1

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011