Date

2024-12-06

Author

Balcı, Alperen

Metadata

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This thesis addresses the novel approach to enhance the efficiency and freshness of wireless communication networks by integrating the concept of Age of Information (AoI) within the existing Wi-Fi 802.11 standards framework. The Age of Information represents a dynamic measure of the timeliness and freshness of data. The proposed research methodology involves optimizing the system and improving overall network performance by integrating AoI metrics within the existing Wi-Fi 802.11 standards framework. In multi-user uplink Wi-Fi networks, a policy called MAB UCB-PI, which uses Upper Confidence Bounds (UCB) to solve the Multi-Armed Bandit (MAB) problem, has been developed to optimize scheduling policies and prioritize packet transmission. The validity of this approach has been evaluated through extensive simulations and real-world experiments using low-cost hardware such as Raspberry Pi-4 and ESP32 modules. The results demonstrate that MAB UCB-PI outperforms existing algorithms in reducing AoI, is robust under varying network conditions, and can adapt to different scenarios.

Subject Keywords

Age of information, Information freshness, 802.11, Wi-Fi, Wireless networks

URI

https://hdl.handle.net/11511/112972

Collections

Graduate School of Natural and Applied Sciences, Thesis