Self-organized distributed sensor network entity tracking

Richard R. Brooks

doi:10.1177/10943420020160030201

2002-08-01

PRE

Richard R. Brooks *

Christopher Griffin

Friedlander, DS

DOI：10.1177/10943420020160030201

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摘要

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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.

Keyword:

self organization

target tracking

sensor networks

parameter estimation