An Android based location service using GSMCellID and GPS to obtain a graphical guide to the nearest cash machine

Jurma Jacobsen; Stefan Edlich

doi:10.1117/12.810141

28 January 2009 An Android based location service using GSMCellID and GPS to obtain a graphical guide to the nearest cash machine

Jurma Jacobsen, Stefan Edlich

Author Affiliations +

Proceedings Volume 7256, Multimedia on Mobile Devices 2009; 72560R (2009) https://doi.org/10.1117/12.810141
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

There is a broad range of potential useful mobile location-based applications. One crucial point seems to be to make them available to the public at large. This case illuminates the abilities of Android - the operating system for mobile devices - to fulfill this demand in the mashup way by use of some special geocoding web services and one integrated web service for getting the nearest cash machines data. It shows an exemplary approach for building mobile location-based mashups for everyone: 1. As a basis for reaching as many people as possible the open source Android OS is assumed to spread widely. 2. Everyone also means that the handset has not to be an expensive GPS device. This is realized by re-utilization of the existing GSM infrastructure with the Cell of Origin (COO) method which makes a lookup of the CellID in one of the growing web available CellID databases. Some of these databases are still undocumented and not yet published. Furthermore the Google Maps API for Mobile (GMM) and the open source counterpart OpenCellID are used. The user's current position localization via lookup of the closest cell to which the handset is currently connected to (COO) is not as precise as GPS, but appears to be sufficient for lots of applications. For this reason the GPS user is the most pleased one - for this user the system is fully automated. In contrary there could be some users who doesn't own a GPS cellular. This user should refine his/her location by one click on the map inside of the determined circular region. The users are then shown and guided by a path to the nearest cash machine by integrating Google Maps API with an overlay. Additionally, the GPS user can keep track of him- or herself by getting a frequently updated view via constantly requested precise GPS data for his or her position.

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Jurma Jacobsen and Stefan Edlich "An Android based location service using GSMCellID and GPS to obtain a graphical guide to the nearest cash machine", Proc. SPIE 7256, Multimedia on Mobile Devices 2009, 72560R (28 January 2009); https://doi.org/10.1117/12.810141

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KEYWORDS

Global Positioning System

Web services

Mobile devices

Databases

Operating systems

Global system for mobile communications

Fluctuations and noise

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