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Self-organized distributed sensor network entity tracking
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DOI：10.1177/10943420020160030201.png)
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摘要
En 中文
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
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论文数:
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被引数:
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