Abstract
The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) clusters of nodes locally estimate parameters used in entity tracking (i.e. time, class, position, and heading), and (ii) local parameter association forms inter-cluster tracks. Ad hoc routing primitives are used. This supports self-organization at all levels. Derivations of entity tracking applications are given along with preliminary results.
Original language | English (US) |
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Pages (from-to) | 207-219 |
Number of pages | 13 |
Journal | International Journal of High Performance Computing Applications |
Volume | 16 |
Issue number | 3 |
DOIs | |
State | Published - 2002 |
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Hardware and Architecture