@conference{inproceedingsd,

title = {UAV Energy Awareness based on Network Communication Optimization and Power Efficient Trajectories},

author = {Georgios Fevgas and Thomas Lagkas and Vasileios Argyriou and Panagiotis Sarigiannidis},

url = {https://www.researchgate.net/publication/364233835_UAV_Energy_Awareness_based_on_Network_Communication_Optimization_and_Power_Efficient_Trajectories},

doi = {10.1109/CSNDSP54353.2022.9907977},

isbn = {978-1-6654-1044-1},

year  = {2022},

date = {2022-07-20},

pages = {756-761},

abstract = {The purpose of energy-efficient Coverage Path Planning (CPP) methods is to minimize energy consumption using multiple Unmanned Aerial Vehicles (UAVs) of the coverage area. In multiple UAVs systems, the network configuration plays a crucial role in the network’s survivability and mission execution. However, the network’s survivability and stability depend on the network’s resources optimization. This paper presents a review of single or multiple UAV energy-efficient CPP methods. Furthermore, we discuss the network configurations of multiple UAVs systems. Likewise, we aim to present networks’ energy optimization approaches and directions for future research.},

keywords = {Coverage Path Planning (CPP), Energy-Efficient CPP methods, Multiple UAVs Networks, Networks Energy Optimization, Unmanned Aerial Vehicles (UAVs)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Spyridis2020,

title = {Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm},

author = { Y. Spyridis and T. Lagkas and P. Sarigiannidis and J. Zhang},

editor = { Networks 2020 12th International Symposium on Communication Systems and Digital Signal Processing ({CSNDSP})},

url = {https://www.researchgate.net/publication/346808103_Rule-based_Autonomous_Tracking_of_RF_Transmitter_Using_a_UAV_Swarm},

doi = {10.1109/csndsp49049.2020.9249591},

year  = {2020},

date = {2020-07-01},

booktitle = {2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)},

journal = {2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020},

publisher = {IEEE},

abstract = {In this paper, a local decision rule-based algorithm is introduced that allows a group of unmanned aerial vehicles (UAVs) to cooperatively trail a mobile radio frequency transmitter. The algorithm utilizes the received signal strength indicator (RSSI) values at each UAV to take a decision that leads the group closer to the target and allows them to preserve minimum distance. The novelty of the proposed solution lies in the fact that it provides an effective tracking technique in noisy environments without relying in distance calculations, which are inevitably inaccurate due to measurement errors. A comprehensive simulation compared the introduced algorithm with a trilateration-based method and demonstrated the increased time efficiency of the proposed technique. © 2020 IEEE.},

keywords = {Mobile target tracking, RSSI, UAV swarm, Unmanned Aerial Vehicles (UAVs), wireless sensor networks},

pubstate = {published},

tppubtype = {conference}

}