DocumentCode :
2813899
Title :
Wireless technology agnostic real-time localization in urban areas
Author :
Abid, Mohamed Amine ; Cherkaoui, Soumaya
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. de Sherbrooke, Sherbrooke, QC, Canada
fYear :
2011
fDate :
4-7 Oct. 2011
Firstpage :
727
Lastpage :
733
Abstract :
Location estimation is a fundamental middleware for enabling location based services. Different Radio propagation models, customarily used in wireless networks planning, can be useful for localizing mobile nodes by estimating the transmitter receiver distance from the Received Signal Strength (RSS). However, most of these localization methods need a prior knowledge of the Effective Isotropic Radiated Power (EIRP) to determine a target location and may suffer from imprecisions that can undermine the purpose of localization. In this paper, we propose a new technique called TR2S2 (Trilateration based on Ratio of Received Signal Strength). Though also based on RSS, the method improves location estimation accuracy compared to classical trilateration algorithms and does not need a knowledge of the EIRP. TR2S2 was applied using different deterministic and statistical radio propagation models in different settings. The results show that location estimation is every time more accurate than other compared methods.
Keywords :
middleware; radio networks; radiowave propagation; telecommunication network planning; EIRP; TR2S2; effective isotropic radiated power; location based services; location estimation; middleware; mobile nodes; radio propagation models; received signal strength; urban areas; wireless networks planning; wireless technology agnostic real-time localization; Antenna measurements; Computational modeling; Estimation; Mathematical model; Mobile communication; Receivers; Wireless communication; Position estimation; Received Signal Strength; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2011 IEEE 36th Conference on
Conference_Location :
Bonn
ISSN :
0742-1303
Print_ISBN :
978-1-61284-926-3
Type :
conf
DOI :
10.1109/LCN.2011.6115541
Filename :
6115541
Link To Document :
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