A Study of WLAN RSSI Based Distance Measurement Using EEMD

Xu, Z; Sandrasegaran, K; Hu, B; Lin, C

A Study of WLAN RSSI Based Distance Measurement Using EEMD

Xu, Z Sandrasegaran, K

Hu, B Lin, C

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Publisher:: IJARCSS
Publication Type:: Journal Article
Citation:: International Journal of Advanced Research in Computer Science and Software Engineering, 2013, 3 (8), pp. 5 - 10
Issue Date:: 2013-01

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Field	Value	Language
dc.contributor.author	Xu, Z	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.contributor.author	Hu, B	en_US
dc.contributor.author	Lin, C	en_US
dc.date.issued	2013-01	en_US
dc.identifier.citation	International Journal of Advanced Research in Computer Science and Software Engineering, 2013, 3 (8), pp. 5 - 10	en_US
dc.identifier.issn	2277-128X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27160
dc.description.abstract	Received Signal Strength Indicator (RSSI) was deemed that it is not applicable for WLAN localization directly, as it is highly influenced by environment and limited by the measurement device. This distortion must be avoided to improve RSSI based distance measurement accuracy. Some method has been introduced to achieve this purpose such as Statistical Mean Value Model (SMVM) and Gauss Model (GM). This paper studies a new method namely Ensemble Empirical Mode Decomposition (EEMD) to process RSSI. A WLAN infrastructure includes one transmitter and one receiver was setup in outdoor and indoor environment to evaluate the performance of this method. The experiment consists of two aspects of transmitter movement reproduction and error analysis followed by a performance comparison with other well-known existing methods. Based on the experiment result, EEMD can efficiently normalize the RSSI reading related to distance and reproduce the movement of transmitter. In addition, EEMD presented more valid accuracy in outdoor environment than indoor environment.	en_US
dc.publisher	IJARCSS	en_US
dc.relation.ispartof	International Journal of Advanced Research in Computer Science and Software Engineering	en_US
dc.title	A Study of WLAN RSSI Based Distance Measurement Using EEMD	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	3	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	8	en_US
pubs.volume	3	en_US

Abstract:

Received Signal Strength Indicator (RSSI) was deemed that it is not applicable for WLAN localization directly, as it is highly influenced by environment and limited by the measurement device. This distortion must be avoided to improve RSSI based distance measurement accuracy. Some method has been introduced to achieve this purpose such as Statistical Mean Value Model (SMVM) and Gauss Model (GM). This paper studies a new method namely Ensemble Empirical Mode Decomposition (EEMD) to process RSSI. A WLAN infrastructure includes one transmitter and one receiver was setup in outdoor and indoor environment to evaluate the performance of this method. The experiment consists of two aspects of transmitter movement reproduction and error analysis followed by a performance comparison with other well-known existing methods. Based on the experiment result, EEMD can efficiently normalize the RSSI reading related to distance and reproduce the movement of transmitter. In addition, EEMD presented more valid accuracy in outdoor environment than indoor environment.

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http://hdl.handle.net/10453/27160