Abstract
A spatial proximity based spontaneous interaction
approach for shared nothing peer-to-peer systems is
proposed. Mobile peers that come spatially close to
each other wirelessly exchange self describing profiles
encoded in an XML dialect. Each peer individually conducts
a similarity analysis of the semistructured data
contained in the received profile, and, in case of the
similarity exceeding a predifined threshold, notifies an
application to start executing. Profiles are organized hierarchically,
allowing for an efficient interaction check
based on peer roles in the first step, and a more detailed
analysis of peer preferences in the second step. A novel
context-aware profile description language (PPDL) has
been developed, expressing peer preferences with respect
to the particular situation (like time, geoposition,
owner, environmental conditions, etc.) in which
the interaction among peers is attempted. The context
of a peer is modelled symbolically within its profile,
so that sensors can verify the actual context and use
the context specific interpretation of the profile prior to
similarity analysis. A fully functional software framework
has been developed implementing context-aware
profiles. Similarity metrics and profile matching strategies
are presented and assesed. In a flexible manufactoring
systems applications scenario we demonstrate its
potentials in the context of wireless peer ensembles.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Autonomic and Autonomous Systems 2006 (ICAS 2006) |
| Number of pages | 8 |
| Publication status | Published - Jul 2006 |
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102020 Medical informatics
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
- 202017 Embedded systems
- 211902 Assistive technologies
- 211912 Product design