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Tracking moving devices with the cricket location system
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Source International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 2nd international conference on Mobile systems, applications, and services table of contents
Boston, MA, USA
SESSION: Support for location table of contents
Pages: 190 - 202  
Year of Publication: 2004
ISBN:1-58113-793-1
Authors
Adam Smith  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Hari Balakrishnan  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Michel Goraczko  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Nissanka Priyantha  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
USENIX: USENIX Association
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 152,   Citation Count: 16
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ABSTRACT

We study the problem of tracking a moving device under two indoor location architectures: an active mobile architecture and a passive mobile architecture. In the former, the infrastructure has receivers at known locations, which estimate distances to a mobile device based on an active transmission from the device. In the latter, the infrastructure has active beacons that periodically transmit signals to a passively listening mobile device, which in turn estimates distances to the beacons. Because the active mobile architecture receives simultaneous distance estimates at multiple receivers from the mobile device, it is likely to perform better tracking than the passive mobile system in which the device obtains only one distance estimate at a time and may have moved between successive estimates. However, an passive mobile system scales better with the number of mobile devices and puts users in control of whether their whereabouts are tracked.We answer the following question: How do the two architectures compare in tracking performance? We find that the active mobile architecture performs better at tracking, but that the passive mobile architecture has acceptable performance; moreover, we devise a hybrid approach that preserves the benefits of the passive mobile architecture while simultaneously providing the same performance as an active mobile system, suggesting a viable practical solution to the three goals of scalability, privacy, and tracking agility.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  16

Collaborative Colleagues:
Adam Smith: colleagues
Hari Balakrishnan: colleagues
Michel Goraczko: colleagues
Nissanka Priyantha: colleagues