Optimizing the deployment of IoT networks under connectivity constraints is critical for the effective implementation of dynamic digital twin systems. This work addresses the challenge of designing IoT networks that ensure seamless data acquisition and transmission while maintaining robust connectivity in dynamic and evolving environments. By leveraging advanced optimization techniques, the study proposes strategies to enhance network efficiency, scalability, and resilience. The resulting framework supports real-time synchronization and interaction between physical systems and their digital counterparts, enabling improved monitoring, predictive analysis, and decision-making in diverse applications.
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