Traffic model evaluation of ad hoc target tracking algorithms

R. R. Brooks; C. Griffin

doi:10.1177/10943420020160030301

Traffic model evaluation of ad hoc target tracking algorithms

R. R. Brooks, C. Griffin

Applied Research Laboratory (ARL)

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Recent work in traffic planning uses differential equations and cellular automata to determine qualitative and quantitative characteristics of granular media flow. In this paper we describe a self-organizing framework for distributed target tracking built on ad hoc publish-subscribe data routing techniques. A cellular automata model of sensor network dynamics is derived and used to express the routing framework. Experimental evaluation is performed for alternative target-tracking algorithms using the framework. Evaluation uses discrete cellular automata models.

Original language	English (US)
Pages (from-to)	221-234
Number of pages	14
Journal	International Journal of High Performance Computing Applications
Volume	16
Issue number	3
DOIs	https://doi.org/10.1177/10943420020160030301
State	Published - 2002

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Hardware and Architecture

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10.1177/10943420020160030301

Cite this

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Traffic model evaluation of ad hoc target tracking algorithms

Abstract

All Science Journal Classification (ASJC) codes

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