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Journal Article

Citation

Brooks RR, Griffin C. Int. J. High Perform. Comput. Appl. 2002; 16(3): 221-234.

Copyright

(Copyright © 2002, SAGE Publishing)

DOI

10.1177/10943420020160030301

PMID

unavailable

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.


Language: en

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