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The algorithm achieved the lowest communication overhead.
In the case of two contradictory objectives, our genetic operators can still help at providing the mappings with the lowest communication energy.
Our simulation results indicate that the proposed schemes can reduce the query delay up to 69% and increase the cache hit rate up to 57%, and have the lowest communication overhead compared to the prior PER and EAS schemes.
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At low communication SNR levels, the convergent speed becomes lower.
This decomposition scheme ensures a low communication overhead and excellent scaling capabilities.
IoT consists of multiple sensor nodes with low communication traffic and short communication range.
Therefore, we turn our attention now on the low-to-low communication direction.
However, freezing effects can eventually still appear by a low communication quality.
This method is quite successful due to its very low communication overhead.
The new solution has the advantages of lightweight computation, low communication cost, and easy implementation.
The proposed method is useful for finding the position of nodes with low communication cost.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com