Self-Organized Distributed Sensor Network Entity Tracking

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.