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)|
|Number of pages||13|
|Journal||International Journal of High Performance Computing Applications|
|State||Published - Jan 1 2002|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Hardware and Architecture