Publications
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my Google Scholar profile.Published in Intelligent Unmanned Air Vehicles Communications for Public Safety Networks, 2022
Unmanned aerial vehicles (a.k.a. drones) have a wide range of applications in e.g., aerial surveillance, mapping, imaging, monitoring, maritime operations, parcel delivery, and disaster response management. Their operations require reliable networking environments and location-based services in air-to-air links with co-operative drones, or air-to-ground links in concert with ground control stations. Read more
Published in IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, 2022
Unmanned aerial vehicles (a.k.a. drones) with high-resolution video cameras are useful for applications in e.g., public safety and smart farming. Inefficient configurations in drone video analytics applications due to edge network miscon-figurations can result in degraded video quality and inefficient resource utilization. Read more
Published in 2021 17th International Conference on Network and Service Management (CNSM), 2021
Unmanned aerial vehicles or drones provide new capabilities for disaster response management (DRM). In a DRM scenario, multiple heterogeneous drones collaboratively work together forming a flying ad-hoc network (FANET) instantiated by a ground control station. Read more
Published in 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2020
Multi-drone systems operating in Flying Ad Hoc Networks (FANETS) are inherently insecure and require efficient security schemes to defend against cyber-attacks such as e.g., Man-in-the-middle, Replay and Denial of Service attacks. Read more
Published in Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, 2020
Realistic UAV testbed building for developing novel network control algorithms relating to video streaming/analytics is time-consuming and difficult. Challenges arise when executing high-scale drone video analytics experiments due to: constraints in drone manufacturing, government regulation restrictions, and limited energy resources. Read more
Published in Geospatial Informatics X, 2020
A common problem in UAS (a.k.a. drone systems) research and development is the cost related to deploying and running realistic testbeds. Due to the constraints in safe operation, handling limited energy resources, and government regulation restrictions, UAS testbed building is time-consuming and not easily configurable for high-scale experiments. Read more