Yasmine A. Fahmy

TL;DR: An IoT-based monitoring system for precision agriculture applications such as epidemic disease control and an expert system that allows the system to emulate the decision-making ability of a human expert regarding the diseases and issue warning messages to the users before the outbreak of the disease is developed.

TL;DR: The proposed DHC algorithm is a mobility-based clustering algorithm that exploits the most relevant mobility metrics such as vehicle speed, position, and direction, in addition to other metrics related to the communication link quality such as the link expiration time (LET) and the signal-to-noise ratio (SNR).

TL;DR: A GPS-free localization framework that uses two-way time of arrival to locate the vehicles based on communication with a single RSU and uses the vehicle kinematics information obtained via the vehicle's onboard inertial navigation system (INS) to further improve the accuracy of the vehicle location using Kalman filters.

TL;DR: A GPS-free localization framework that uses two-way time of arrival with partial use of dead reckoning to locate the vehicles based on communication with a single RSU and the results show that the accuracy of the proposed framework is 13.1% better than the techniques that use 1 RSUs while completely depending on dead reckoning and only 3% worse than those that use 2 RSUs on both sides on the road.

TL;DR: A generalized multiple-input multiple-output (MIMO) antenna system that can be fitted to the uplink of a wireless communication system is considered for the general case of multi-user, demonstrating a significant performance improvement in both single user and multi- user cases.