DocumentCode
614558
Title
Performance comparison of localization techniques for sequential WSN discovery
Author
Xue Zhang ; Banavar, Mahesh ; Willerton, Marc ; Manikas, Athanassios ; Tepedelenlioglu, Cihan ; Spanias, A. ; Thornton, T. ; Yeatman, Eric ; Constantinides, A.G.
Author_Institution
SenSIP Center, Arizona State Univ., Tempe, AZ, USA
fYear
2012
fDate
25-27 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
In this paper, the performance of different localization algorithms are compared in the context of the sequential Wireless Sensor Network (WSN) discovery problem. Here, all sensor nodes are at unknown locations except for a very small number of so called anchor nodes at known locations. The locations of nodes are sequentially estimated such that when the location of a given node is found, it may be used to localize others. The underlying performance of such an approach is largely dependent upon the localization technique employed. In this paper, several well-known localization techniques are presented using a united notation. These methods are time of arrival (TOA), time difference of arrival (TDOA), received signal strength (RSS), direction of arrival (DOA) and large aperture array (LAA) localization. The performance of a sequential network discovery process is then compared when using each of these localization algorithms. These algorithms are implemented in the Java-DSP software package as part of a localization toolbox.
Keywords
Java; digital signal processing chips; direction-of-arrival estimation; software packages; telecommunication computing; time-of-arrival estimation; wireless sensor networks; DOA; Java-DSP software package; LAA localization; RSS; TDOA; anchor nodes; direction of arrival; large aperture array localization; localization toolbox; received signal strength; sensor nodes; sequential WSN discovery; time difference of arrival; unified notation; wireless sensor network;
fLanguage
English
Publisher
iet
Conference_Titel
Sensor Signal Processing for Defence (SSPD 2012)
Conference_Location
London
Electronic_ISBN
978-1-84919-712-0
Type
conf
DOI
10.1049/ic.2012.0120
Filename
6552188
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