DocumentCode
3541951
Title
Relative RSS-based GSM localization technique
Author
Abdel Meniem, Mohamed H. ; Hamad, Ahmed M. ; Shaaban, Eman
Author_Institution
Comput. Syst. Dept., Ain-Shams Univ., Cairo, Egypt
fYear
2013
fDate
9-11 May 2013
Firstpage
1
Lastpage
6
Abstract
Context-aware applications have been gaining huge interest in the last few years. With cell phones becoming ubiquitous computing devices, cell phone localization has become an important research problem, and numerous localization solutions have been proposed. Database Correlation Method (DCM) is a positioning technology that based on a premeasured database of a location dependent variable such as Received Signal Strength (RSS) or Link Quality Identifier. DCM has shown superior in terms of accuracy. Absolute RSS values received from base station change with time, but the relative RSS values which refer to the relations of the RSS values between different base stations are more stable. This study has proposed and implemented a robust technique for both positioning and traffic estimation using Relative Received Signal Strength (RRSS) of GSM. The study has been tested and analysed in Egypt roads using realistic data and Android smart phones. The performance evaluation showed good results. Mean positioning accuracy was about 29 m in urban areas and velocity estimation was about 1 km/h in rural areas.
Keywords
cellular radio; mobile handsets; mobility management (mobile radio); Android smart phones; cell phone localization; context aware applications; database correlation method; link quality identifier; realistic data; relative RSS based GSM localization technique; relative received signal strength; traffic estimation; Accuracy; Estimation; Fingerprint recognition; Monitoring; Roads; Smart phones; Vehicles; DCM localization; Fingerprints; GSM localization; RRSS localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electro/Information Technology (EIT), 2013 IEEE International Conference on
Conference_Location
Rapid City, SD
ISSN
2154-0357
Print_ISBN
978-1-4673-5207-9
Type
conf
DOI
10.1109/EIT.2013.6632643
Filename
6632643
Link To Document