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Adam Smith 0004

dblp:04/5072-4 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 100%
Network and information security
1 paper
Privacy and data protection · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › tracking
device tracking
0.012004
Tracking Moving Devices with the Cricket Location System · MobiSys 2004
Wireless sensing and localization
indoor localization
0.012004
Tracking Moving Devices with the Cricket Location System · MobiSys 2004
Privacy and data protection
location privacy
0.012004
Tracking Moving Devices with the Cricket Location System · MobiSys 2004

Methods — techniques the papers use, named apart from their topics

hybrid architecture design · 0.1distance estimation · 0.1
YearPublicationVenuePosition
2004 Tracking Moving Devices with the Cricket Location System
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.
Adam Smith 0004, Hari Balakrishnan, Michel Goraczko, Bodhi Priyantha
MobiSys1