nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network

This paper, the second one in a three-paper sequence, presents the nesC model of a Hopfield neural network configured for a static optimization problem, the maximum independent set, in fully parallel and distributed mode for TinyOS-based wireless sensor networks. Actual nesC code that implements the...

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Veröffentlicht in:	Procedia computer science Jg. 6; S. 396 - 401
Hauptverfasser:	Li, Jiakai, Serpen, Gursel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2011
Schlagworte:	Hopfield neural network maximum independent set problem nesC parallel and distributed computation static optimization TinyOS wireless sensor network nesC TinyOS parallel and distributed computation wireless sensor network static optimization Hopfield neural network maximum independent set problem
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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