Network Slicing in 6G: A Strategic Framework for IoT in Smart Cities.

Area of Science:

• Telecommunications Engineering
• Computer Networks
• Smart City Technologies

Background:

• The advent of 6G communication technologies presents new opportunities and challenges for Internet of Things (IoT) in smart cities.
• Existing network infrastructures require advanced solutions to support the complex demands of 6G-enabled smart city IoT.

Purpose of the Study:

• To introduce and evaluate an advanced network slicing framework tailored for 6G smart city IoT deployments.
• To ensure efficient, scalable, and secure network performance for future urban communication systems.

Main Methods:

• A comprehensive methodology including requirement analysis, metric formulation, mathematical modeling, and optimization.
• Development and validation of a network slicing framework with performance evaluation and parameter tuning.
• Implementation of security features like 256-bit encryption and high authentication success rates.

Main Results:

• Demonstrated high efficiency with low round-trip time (RTT) and minimal packet loss.
• Achieved increased availability and enhanced throughput, showcasing effective resource management.
• Validated robust scalability for managing multiple simultaneous connections without performance degradation.
• Confirmed enhanced security through strong encryption and authentication mechanisms.

Conclusions:

• The proposed network slicing framework effectively addresses the demands of 6G smart city IoT.
• The framework exhibits superior performance, scalability, and security, crucial for next-generation urban networks.
• This research provides a viable solution for optimizing IoT deployments in future 6G smart cities.