Supercomputer Modeling of Large-Scale Wireless Sensor Networks


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Abstract

We consider a wireless sensor network (WSN) in the form of a chain of sensors with several sinks. Chiasserini–Garetto conditions are imposed on the functioning of the network nodes and the transmission environment. The number of network nodes is assumed in the thousands. A parallel simulation model is constructed to estimate the WSN performance parameters. Computer experiments conducted on a BlueGene/P supercomputer show good scalability of the model.

About the authors

I. M. Nikol’skii

Faculty of Computational Mathematics and Cybernetics, Moscow State University

Author for correspondence.
Email: oliv_mail@mail.ru
Russian Federation, Moscow

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