Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik Ve Elektronik Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2025
Tezin Dili: İngilizce
Öğrenci: ALPEREN BALCI
Danışman: Elif Uysal
Özet:
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.