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Therefore, we propose an approach that improves the performance of load-balancing algorithms by considering the load-balancing technical-factors and the structure of the network that executes the algorithm.
The hardware architecture consists of a microprocessor, which executes the algorithm using a false key, and a coprocessor that performs several operations that are necessary to retrieve the original text that was encrypted with the real key.
The final optimized implementation executes the algorithm on TI IPNC DM368 DSP-based camera.
There is no communication overhead since each node executes the algorithm locally.
In order to select some nodes belonging to CDS it executes the algorithm in this stage.
Each intermediate node receives an RREQ and then executes the algorithm of WSNHA-LBAR to forward the RREQ as Algorithm 1 shows.
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This quantification provides an estimate of the use of memory and execution time necessary to execute the algorithm.
The processor indicated by the pink dotted line requires certain grid point data from its neighbors to execute the algorithm; this data has been indicated by the same color coded numbers as before.
In this system, a tree-searching based MIMO detection algorithm is revised to be suitable for the NOC system, and the processing elements that execute the algorithm is architected.
We describe the algorithm in stepwise fashion to illustrate how we coded and executed the algorithm.
Once received the response messages, the discoverer could then define its neighbourhood to execute the algorithm.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com