Abstract
Middleware support for pervasive context-aware systems relieves context-aware
applications from dealing with the complexity of context-specific operations
such as context acquisition, aggregation, reasoning and distribution. The
middleware decouples applications from the underlying heterogeneous context
sensors, and offers advantages such as rapid development of context-aware
applications and efficient usage of the context sensors. Context sensors have
inherent limitations with respect to the quality of the context information
they produce. Without breaking the decoupling, the middleware needs to
explicitly model and quantify this quality of context in order to allow
application to adapt their behavior based on the quality of context, for
efficiency reasons and to enable quality-of-context-aware privacy policies.
In this paper we identify and define five quality-of-context indicators for
context-aware middleware, and discuss different alternatives for their
quantification. These quality-of-context indicators are: precision, freshness,
spatial resolution, temporal resolution and probability of correctness.
Original language | English |
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Title of host publication | Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07 |
Publisher | IEEE |
Pages | 461-466 |
Number of pages | 6 |
ISBN (Print) | 0-7695-2788-4 |
DOIs | |
Publication status | Published - Mar 2007 |
Event | Fifth Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2007 - White Plains, United States Duration: 19 Mar 2007 → 23 Mar 2007 Conference number: 5 |
Workshop
Workshop | Fifth Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2007 |
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Abbreviated title | PerCom |
Country/Territory | United States |
City | White Plains |
Period | 19/03/07 → 23/03/07 |
Keywords
- SCS-Services