Energy-Based LEACH Improvement Algorithm
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We propose an energy-based enhancement algorithm that improves upon the original LEACH protocol. This algorithm implementation allows simulation-based observation of how the number of surviving nodes changes across successive simulation rounds. Through this approach, we can more effectively analyze node energy consumption patterns and evaluate network performance metrics. The code implementation typically involves energy threshold calculations, cluster head selection mechanisms based on residual energy, and visualization functions that plot survival rates against round numbers using libraries like matplotlib in Python.
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