Traffic model evaluation of ad hoc target tracking algorithms

R. R. Brooks, C. Griffin

Research output: Contribution to journalArticlepeer-review

22 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 languageEnglish (US)
Pages (from-to)221-234
Number of pages14
JournalInternational Journal of High Performance Computing Applications
Volume16
Issue number3
DOIs
StatePublished - 2002

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture

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