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International Journal of High Performance Computing Applications
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Self-Organized Distributed Sensor Network Entity Tracking

R.R. Brooks

THE PENNSYLVANIA STATE UNIVERSITY, USA

C. Griffin

THE PENNSYLVANIA STATE UNIVERSITY, USA

D.S. Friedlander

THE PENNSYLVANIA STATE UNIVERSITY, USA

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.

Key Words: Self organization • target tracking • sensor networks • parameter estimation

International Journal of High Performance Computing Applications, Vol. 16, No. 3, 207-219 (2002)
DOI: 10.1177/10943420020160030201
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