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This technology has far-reaching implications, particularly in areas where traditional wireless networks struggle to reach, such as rural communities or large industrial sites. For instance, a study by the National Telecommunications and Information Administration found that rural areas in the United States have significantly lower broadband adoption rates compared to urban areas.

Mesh networking can help bridge this digital divide.

Researchers have been exploring the applications of mesh networking in various fields, including smart cities and IoT (Internet of Things) development. The ability to create a network of interconnected devices enables the efficient collection and transmission of data, which can be used to optimize urban planning, traffic management, and energy consumption.

For example, a mesh network can be used to connect sensors and devices in a smart city, allowing for real-time monitoring and analysis of traffic patterns.

This can lead to reduced congestion and improved air quality. The integration of mesh networking with emerging technologies like artificial intelligence and machine learning is expected to unlock new possibilities for data analysis and decision-making. Specifically, the use of machine learning algorithms can help optimize mesh network performance, ensuring that data is transmitted efficiently and reliably.

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