Self-Organized Distributed Sensor Network Entity Tracking
Richard R. Brooks, Christopher H. Griffin, David S. Friedlander · The International Journal of High Performance Computing Applications · 2002
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.