Project Abstract

Team Members

Screenshots

Presentation and Report

Documentation

Downloads

Abstract

The purpose of the Major Qualifying Project (MQP) was to create a platform independent, software-only indoor geolocation solution. Locus utilizes the existing 802.11b Wireless Local Area Network Infrastructure without using the Global Positioning System (GPS) or proprietary tags. Locus was designed using object-oriented techniques and implemented in Java with platform-dependent modules clearly abstracted. The proximity-based location sensing algorithm compares runtime signal strength values to pre-recorded calibration values. Location is displayed on an actual floor plan using Scalable Vector Graphics (SVG).

Team Members

Arvinder Singh
Ali Taheri
Prof. Emmanuel O. Agu (Project Advisor)

Screenshots

Presentation and Report

Locus Final MQP Report

Locus MQP Project Presentation

Papers/Documentation

• Ali Taheri, Arvinder Singh and Emmanuel Agu, Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks (WLANs) using Locus, in Proc Fourth International IEEE Workshop on Wireless Local Networks, (in conjunction with IEEE LCN 2004)
  
  
• Ali Taheri, Arvinder Singh and Emmanuel Agu, Locus: A Tool for Tag-less Location Sensing on 802.11 Wireless LANs with Display in SVG, in Proc. SVG Open Conference 2004, to appear.
  
  

Downloads

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