The proposed SRLNC transmission-based routing approach has been applied over the proposed underwater acoustic (statistical) channel model, and respective performance assessment has been conducted in terms of throughput, energy efficiency, delay and computational complexity by varying network condition parameters. The derived statistical channel model deals with both the small-scale fading primarily caused by scattering and small wavelength changes and large-scale fading introduced due to node dislocation in the underwater acoustic medium.

Considering the significance of an energy efficient, delay tolerant and reliable communication protocol for underwater acoustic wireless sensor network (UWSN), this paper proposes a novel systematic random linear network coding (SRLNC) based transmission system examined over a robust statistical UWSN channel model. Check out our tutorial on how to get started with XLSTAT-R here. The link is now established between XLSTAT-R and R. When the 'XLSTAT-Options' window appears, enter the following path in the space reserved: /usr/local/bin/rscriptĥ. Click on the XLSTAT button and then on the XLSTAT-R Options button.Ĥ. We can see that the Rscript file is here :ģ. Open your Finder > click Go > Go to folder > then enter the following path: /usr/local/bin/Rscript Check that the Rscript file is in your directory.

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