I am a graduate student with a Master’s degree in Software Engineering and a Front-End Developer skilled in React and TypeScript. I have a strong passion for designing user-friendly and responsive user interfaces with a focus on user experience. I enjoy gaining hands-on experience and learning new technologies, and I have published several practical projects on GitHub.
I am looking to work in a friendly environment where personal growth, continuous learning, and keeping skills up to date are valued.
Link: https://www.coursera.org/account/accomplishments/certificate/WBANJKSGGYPK
Link: https://www.coursera.org/account/accomplishments/certificate/QYQCFEAHTEML
Link: https://ieeexplore.ieee.org/abstract/document/10216179/
IoT sensors are usually used for data collection and monitoring in various environments over the well-known edge computing architecture. However, the sensors' lifetime is a significant challenge when the sensors are battery-powered. To reduce energy consumption, this paper presents a novel graphbased sensor selection scheme to select working and sleeping sensors that maximizes the number of sleeping nodes while keeping the accuracy comparable with the state-of-the-art methods using a hierarchical prediction scheme. Moreover, an entropy-aware publishing method is proposed to reduce the edgeto-cloud transmissions to avoid transmitting predictable measurements to the cloud by utilizing the temporal correlation in a sensor measurement. The experimental results showed that the proposed method could surpass the previous approaches by turning off 14% more sensors on average under equal …
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