Physical Sciences and Mathematics Commons^™

A Physical Layer Framework For A Smart City Using Accumulative Bayesian Machine Learning, Razan E. Alfar

Electronic Thesis and Dissertation Repository

Smart cities are one of the most active research fields in the world, due to the various benefits and challenges associated with their implementation. A major challenge for smart cities is processing and transporting the huge volumes of data generated by the sensor network layer, which builds the fundamental physical layer. Ongoing research is needed to address the computational challenges arising in smart city environments, particularly to help ensure efficient operations around the sensor layer. To address this challenge, a novel physical layer framework is proposed that intelligently learns the behavior of the physical system to enable the agents to …