On Mar. 10, 2022, ONE Lab team at Zewail City for Science and Technology and Cairo University; in collaboration with Nile University, and the American University in Cairo; and funded from the Science, Technology, and Innovation Funding Agency (STIFA); has an accepted paper at the Tech Science Press CMC (Computers, Materials & Continua) journal.
The paper is considered the first outcome of the Master thesis of Eng. Rania Moustafa, Master student at Nile University and Research Assistant within ONE Lab team at the NB-IoT funded Project.
The paper title is “UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm” and it tackles the UAV and the paper Abstract is given below.
“Unmanned Aerial Vehicles (UAVs) provide a reliable and energy-efficient solution for data collection from the Narrowband Internet of Things (NB-IoT) devices. However, the UAV’s deployment optimization, including locations of the UAV’s stop points, is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection efficiently. In this regard, this paper proposes Gaining-Sharing Knowledge (GSK) algorithm for optimizing the UAV’s deployment. In GSK, the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire deployment. The superiority of using GSK in the tackled problem is verified by simulation in seven scenarios. It provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same problem. Besides, the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.”