Hierarchical fog computing is emerging as a solution to reduce latency and improve efficiency in IoT applications by processing data closer to the source rather than relying solely on distant cloud servers. This approach, combined with optimization techniques like Grey Wolf Optimization, can significantly enhance real-time decision-making capabilities for devices such as autonomous vehicles and smart factories, making it crucial for developers working on latency-sensitive systems.
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