Authors:
Ashanie Gunathillake
1
;
Andrey V. Savkin
2
;
Anura Jayasumana
3
and
Aruna Seneviratne
1
Affiliations:
1
University of New South Wales and NICTA, Australia
;
2
University of New South Wales, Australia
;
3
Colorado State University, United States
Keyword(s):
Localization, Procrustes Analysis, Signal Propagation, Wireless Sensor Network.
Related
Ontology
Subjects/Areas/Topics:
Ad Hoc Networks
;
Connectivity and Communication
;
Sensor Networks
;
Software and Architectures
;
Wireless Information Networks
;
Wireless Network Protocols
Abstract:
The location information of sensors is of great importance for wireless sensor network automation and has
been one of the major challenges in large-scale sensor networks. In order to improve the localization accuracy
of sensors, the gain of both range-free and range-based approaches need to be concerned. In this paper,
we propose a new localization algorithm based on signal receiving probability and Procrustes analysis. A
critical observation in range-free technique is sensors can move a non-zero distance without changing it’s
connectivity information. To defeat that difficulty and achieve a better ranging measurement, a receiving
probability function, which is sensitive to the distance, is used in this paper. The probability function is used
to calculate the topological coordinates and then to transform it to physical coordinates, the Procrustes analysis
is used. The result shows that our proposed algorithm has been able to calculate the physical coordinates of
sensors, which are di
stributed over an area, consist of obstacles and with different environmental conditions.
Moreover, it outperformed the other existing algorithms by a maximum localization error less then 2m.
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