An API for location aware computing

Indoor, location-aware devices have the potential to provide extremely useful resource and building information to human users; for example, a location-aware PDA could potentially provide map information in real time. We have developed a complete, extensible, indoor location-aware API to allow clients to interact with building and resource data stored on a central server. We have designed our own data model, emphasizing a space's adjacency relationships to other spaces as the most important relational characteristic. Route finding is a fundamental algorithm for the exploration of such a data model; we investigated, implemented, and evaluated several such algorithms. Furthermore, we have implemented both a server and several clients, demonstrating the robustness and reliability of the API. The API's most complex client, the CampusMap application, runs on a commodity graphics workstation and allows a user to interact with a full, three-dimensional model of campus. CampusMap generates lowest-cost routes between any campus location by interacting with a Location Server, visualizing campus spaces, and instantly updating route results.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2003

Author dc:creator

• Bell, Jason Murray, 1980-

Advisor dc:contributor.advisor

• Seth Teller.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/16960

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/16960