Preference-Aware User Access Control Policy in Internet of Things

Area of Science:

• Computer Science
• Network Engineering
• Internet of Things

Background:

• Existing Internet of Things (IoT) access control methods lack consideration for multiple access options for identical services.
• Ensuring Quality of Service (QoS) and optimizing IoT network resource utilization requires service-specific access control strategies.

Purpose of the Study:

• To propose a preference-aware user access control strategy within network slices.
• To increase the number of users accessing the system while balancing slice resource utilization.

Main Methods:

• Established a user QoS model and slice QoS index range based on delay, rate, and reliability requirements for users with multiple access options.
• Developed a user preference matrix integrating user QoS needs and slice QoS index ranges.
• Constructed a slice preference matrix based on optimization objectives to inform access control decisions.

Main Results:

• The proposed strategy effectively balances slice resource utilization.
• The number of users able to access the system is demonstrably increased.
• Verification confirms the strategy's dual benefit of resource balancing and increased user capacity.

Conclusions:

• The preference-aware access control strategy optimizes user access in IoT environments.
• This approach enhances both system capacity and efficient resource management within network slices.