A faculty member from the College of Education for Pure Sciences at the University of Basra developed an important analytical model to improve user experience in wireless sensor networks at the IEEE International Conference in America.

Professor Dr. Hamed Ali Abdul-Asadi, Head of the Computer Science Department at the College of Education for Pure Sciences, University of Basra, participated in the Second IEEE International Conference on Secure and Reliable Cyber ​​Infrastructure for the Internet of Things and Microelectronics (SaTC 2026), held in Texas, USA, from March 24-26, 2026. His participation was remote (online) from Iraq, in cooperation with Semnan University in the Islamic Republic of Iran, represented by Master's student Mohammed Adnan Sayhood, a graduate of the Computer Science Department for the academic year 2024-2025.

This remarkable scientific achievement comes through the submission of an innovative research paper titled "Adaptive Quality of Experience Optimization in Wireless Multimedia Sensor Networks: A Cross-Layer Analytical Approach," ID No. 204. The paper presents a cross-layer analytical model (physical, network, and application) to optimize the quality of user experience (QoE) in wireless multimedia sensor networks, representing a significant leap forward in the design and operation of these vital networks.

The proposed model relies on a real-time adaptive control mechanism that dynamically and continuously adjusts the encoding rate and routing path within the network. This mechanism takes into account a confluence of influencing factors such as packet loss, latency, fluctuation, and video perception quality. Its aim is to achieve the highest levels of end-user satisfaction while maintaining energy efficiency and network stability. The proposed mechanism incorporates lightweight feedback loops operating across physical, network, and application layers, enabling the system to respond instantly to changes in channel quality, latency, and packet loss. The analytical controller also applies gradient-based update rules to maintain optimal user experience quality while respecting power constraints, ensuring efficient multimedia delivery that considers the user's perception.

The simulation results presented in the research demonstrated that the proposed adaptive mechanism significantly improves user experience quality indicators compared to traditional systems relying solely on Quality of Service (QoS). Furthermore, it achieves higher power efficiency and improved network stability, highlighting the importance of user-centric design in developing intelligent wireless sensing systems for multimedia applications.

This distinguished contribution underscores the prestigious scientific standing of the University of Basrah in general, and the Department of Computer Science at the College of Education for Pure Sciences in particular, within the international scientific research arena. It also reflects the commitment of Iraqi academic staff to fostering scientific collaboration with global and regional universities and actively contributing to the development of vital future technologies in the fields of the Internet of Things, microelectronics, and wireless sensing networks

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