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Two techniques to reduce communication are introduced.
A multi-hop cluster scheme can decrease the number of CHs to reduce communication cost.
These techniques generate balanced-size clusters while attempting to reduce communication overhead.
Clustering algorithms for MANETs have been developed to reduce communication costs between mobile nodes.
Communication is performed cyclically once every minute to reduce communication time and thereby energy consumption.
The key issue in achieving optimal performance is, therefore, to reduce communication overhead among processors.
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In addition to reducing communication delays, minimizing lost and erroneous results is essential for reducing morbidity in these high-risk patients.
For partitioned whole-genome datasets with thousands of partitions, the code requires some substantial re-engineering (in addition to the techniques presented here) to further reduce communication costs.
However, how to efficiently process and reduce communication traffic in an urban-scale M2M network has been an engineering challenge.
Therefore, strong medium access control (MAC) protocols are a prerequisite for effective data dissemination strategies to enhance throughput and reduce communication overhead [33 35].
Node clustering is a common technique to organize data traffic, reduce communication overhead and enable better network traffic management, improving scalability and energy efficiency.
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