Self-Organized Distributed Sensor Network Entity Tracking

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) cluste...

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Bibliographic Details
Published in:The international journal of high performance computing applications 2002-08, Vol.16 (3), p.207-219
Main Authors: Brooks, R.R., Griffin, C., Friedlander, D.S.
Format: Article
Language:English
Subjects:
Automation
Border patrol
Communications networks
Embedded systems
Information management
Infrastructure
Internet
Network topologies
Parameter estimation
R&D
Radio communications
Research & development
Semantics
Sensors
Simulation
Software
Statistical analysis
Systems design
Wireless communications
Wireless networks
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Summary: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.
ISSN:1094-3420
1741-2846
DOI:10.1177/10943420020160030201