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Abstract Wireless Sensor Networks (WSNs) which plays a crucial role in data transmission in today’s digital era faces various types of research challenges due to limited energy constraints in sensor nodes. This study introduces a Machine Learning-based Energy Optimization Approach (ML-EOA) to overcome these research challenges. ML-EOA integrates data aggregation, an Artificial Neural Network ...
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