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The development of advanced algorithms for wireless communication and the Internet of Things (IoT) has become a central theme in recent research, and this Reprint highlights studies related to mathematical and computational methods applied in these domains. This Reprint contains theoretical contributions, applied models, and systematic analyses addressing algorithmic challenges in IoT and wireless systems. It covers topics such as optimization techniques, probabilistic models, resource allocation, secure transmission, energy-efficient communication, and real-time decision-making. The contributions span a wide range of approaches, including machine learning methods, distributed algorithms, and mathematical frameworks for next-generation wireless networks.
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