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22045 Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models
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Le, Viet Duc and Lee, Young-Koo and Lee, Sungyoung (2009) Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models. In: International Conference on Computational Science and its Applications (ICCSA 2009), 29 June - 02 July 2009, South Korea. pp. 419-431. Lecture Notes in Computer Science 5593. Springer Verlag. ISSN 0302-9743 ISBN 978-3-642-02456-6

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Official URL: http://dx.doi.org/10.1007/978-3-642-02457-3_36

Abstract

Wireless Sensor Network (WSN) applications nowadays are an emerging avenue in which sensor localization is an essential and crucial issue. Many algorithms have been proposed to estimate the coordinate of sensors in WSNs, however, the attained accuracy in real-world applications is still far from the theoretical lower bound, Crame-Rao Lower Bound (CRLB), due to the effects of fading channels. In this paper, we propose a very simple and light weight statistical model for rang-based localization schemes, especially for the most typical localization algorithms based on received signal strength (RSS) and time-of-arrival (TOA). Our proposed method infers only the order or the nomination of given distances from measurement data to avoid significant bias caused by fading channels or shadowing. In such way, it radically reduces the effects of the degradation and performs better than existing algorithms do. With simulation of fading channels and irregular noises for both the RSS-based measurement and the TOA-based measurement, we analyze and testify both the benefits and the drawbacks of the proposed models and the localization scheme.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Uncontrolled Keywords:Localization, Nonmetric, Fading Channel, Shadowing
ID Code:22045
Status:Published
Deposited On:22 August 2012
Refereed:Yes
International:Yes
More Information:statistics

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