Novel Received Signal Strength-Based Indoor Location System: Development and Testing
A received signal strength- (RSS-)based indoor location method (ILS) for person/assets location in indoor scenarios is presented in this paper. Theoretical bases of the method are the integral equations relating the electromagnetic (EM) fields with their sources, establishing a cost function relatin...
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2010-01-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://dx.doi.org/10.1155/2010/254345 |
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doaj-d84dbb346ea74538b316bba71f9b79822020-11-25T00:23:57ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-01201010.1155/2010/254345Novel Received Signal Strength-Based Indoor Location System: Development and TestingYuri ÁlvarezMaría Elena de CosJosé LorenzoFernando Las-HerasA received signal strength- (RSS-)based indoor location method (ILS) for person/assets location in indoor scenarios is presented in this paper. Theoretical bases of the method are the integral equations relating the electromagnetic (EM) fields with their sources, establishing a cost function relating the measured field at the receivers and the unknown position of the transmitter. The aim is to improve the EM characterization of the scenario yielding in a more accurate indoor location method. Regarding network infrastructure implementation, a set of receivers are deployed through the coverage area, measuring the RSS value from a transmitter node which is attached to the asset to be located. The location method is evaluated in several indoor scenarios using portable measurement equipment. The next step has been the network hardware implementation using a wireless sensor network: for this purpose, ZigBee nodes have been selected. Finally, RSS measurements variability due to multipath effects and nonline-of-sight between transmitter and receiver nodes is mitigated using calibration and a correction based on the difference between the free space field decay law and the measured RSS. http://dx.doi.org/10.1155/2010/254345 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuri Álvarez María Elena de Cos José Lorenzo Fernando Las-Heras |
spellingShingle |
Yuri Álvarez María Elena de Cos José Lorenzo Fernando Las-Heras Novel Received Signal Strength-Based Indoor Location System: Development and Testing EURASIP Journal on Wireless Communications and Networking |
author_facet |
Yuri Álvarez María Elena de Cos José Lorenzo Fernando Las-Heras |
author_sort |
Yuri Álvarez |
title |
Novel Received Signal Strength-Based Indoor Location System: Development and Testing |
title_short |
Novel Received Signal Strength-Based Indoor Location System: Development and Testing |
title_full |
Novel Received Signal Strength-Based Indoor Location System: Development and Testing |
title_fullStr |
Novel Received Signal Strength-Based Indoor Location System: Development and Testing |
title_full_unstemmed |
Novel Received Signal Strength-Based Indoor Location System: Development and Testing |
title_sort |
novel received signal strength-based indoor location system: development and testing |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1472 1687-1499 |
publishDate |
2010-01-01 |
description |
A received signal strength- (RSS-)based indoor location method (ILS) for person/assets location in indoor scenarios is presented in this paper. Theoretical bases of the method are the integral equations relating the electromagnetic (EM) fields with their sources, establishing a cost function relating the measured field at the receivers and the unknown position of the transmitter. The aim is to improve the EM characterization of the scenario yielding in a more accurate indoor location method. Regarding network infrastructure implementation, a set of receivers are deployed through the coverage area, measuring the RSS value from a transmitter node which is attached to the asset to be located. The location method is evaluated in several indoor scenarios using portable measurement equipment. The next step has been the network hardware implementation using a wireless sensor network: for this purpose, ZigBee nodes have been selected. Finally, RSS measurements variability due to multipath effects and nonline-of-sight between transmitter and receiver nodes is mitigated using calibration and a correction based on the difference between the free space field decay law and the measured RSS. |
url |
http://dx.doi.org/10.1155/2010/254345 |
work_keys_str_mv |
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