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Explore a self-organizing approach for WSNs inspired by natural selection, optimizing network efficiency and robustness. This method mimics biological evolution to enhance network performance and adaptability in dynamic environments, ensuring reliable data collection and communication. By employing natural selection principles, WSNs can autonomously adjust and reconfigure, improving overall system efficiency and reliability. Understand the benefits of implementing this innovative approach to empower WSNs in achieving self-organization for enhanced functionality and resilience in various applications.
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