The use of unmanned aerial vehicles (UAVs) for data gathering in wireless sensor networks (WSNs) and Internet of Things (IoT) applications has significantly gained interest in recent years. This shift is mainly attributed to the fast mobility and manoeuvrability of UAVs to deliver sensed data (by sensors and/or IoT devices) in remote, rural, or urban areas to the required destination (such as base stations or data centers). Age of Information (AoI) is a recent metric that measures the degree of freshness of information collected in data gathering applications, and in this context, data sensed by terrestrial sensing devices and transported by the UAV. Many researchers have thus focused on techniques to minimize AoI, mainly using machine learning and optimization methods. The research in this area is fast-growing, and some of the models studied are becoming more fine-grained, thus increasing the need for a comprehensive review of the proposed solutions, peculiar aspects, and diverse assumptions to draw lessons, identify challenges, and map out future considerations. …Read more
About Author
Chedia Jarray obtained her B.Sc. degree in Network and Communications Engineering from the National Engineering School of Gabes, University of Gabes, Tunisia, in 2013. She completed her Ph.D. at the same institution and is presently employed as an R&D researcher at the Become Laboratory. Her research focuses on various areas including sensor networks, machine-type communications, device-to-device communication, stochastic geometry, Unmanned Aerial Vehicles (UAVs), and TeraHertz communications.