2021
Y. Spyridis, T. Lagkas, P. Sarigiannidis; J. Zhang
Modelling and simulation of a new cooperative algorithm for UAV swarm coordination in mobile RF target tracking Journal Article
In: Simulation Modelling Practice and Theory, vol. 107, pp. 102232, 2021.
Περίληψη | BibTeX | Ετικέτες: Mobile target tracking, Modelling, RSSI, Simulation, UAV swarm, unmanned aerial vehicles, wireless sensor networks | Σύνδεσμοι:
@article{Spyridis2021,
title = {Modelling and simulation of a new cooperative algorithm for UAV swarm coordination in mobile RF target tracking},
author = { Y. Spyridis, T. Lagkas, P. Sarigiannidis and J. Zhang},
url = {https://www.researchgate.net/publication/346563683_Modelling_and_simulation_of_a_new_cooperative_algorithm_for_UAV_swarm_coordination_in_mobile_RF_target_tracking},
doi = {10.1016/j.simpat.2020.102232},
year = {2021},
date = {2021-02-01},
journal = {Simulation Modelling Practice and Theory},
volume = {107},
pages = {102232},
publisher = {Elsevier BV},
abstract = {Recent advancements in sensor technology have allowed unmanned aerial vehicles (UAVs) to function as sensing devices in cooperative aerial communication networks, offering novel solutions in applications of environment inspection, disaster detection and search and rescue operations. Towards this trend, the efficient deployment and coordination of UAV networks is of vital importance. Generating controlled experimental conditions to implement and evaluate different approaches in this context can be impractical and costly and thus the solution of modelling is often preferred. This paper introduces a tracking model in which multirotor UAVs, equipped with received signal strength indicator (RSSI) sensors, are organized in a swarm and cooperate to approximate and trail a moving target. The proposed algorithm is able to offer autonomous tracking in large scale environments, by utilising just the strength of the communication signal emitted by a radio frequency transmitter carried by the target. A model of the proposed algorithm is created, and its performance is thoroughly evaluated in a specialized simulator developed in the Processing IDE. Results demonstrate the increased tracking efficiency of the proposed solution compared to a trilateration method. © 2020 Elsevier Ltd},
keywords = {Mobile target tracking, Modelling, RSSI, Simulation, UAV swarm, unmanned aerial vehicles, wireless sensor networks},
pubstate = {published},
tppubtype = {article}
}
2020
Y. Spyridis; T. Lagkas; P. Sarigiannidis; J. Zhang
Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm Conference
2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), IEEE, 2020.
Περίληψη | BibTeX | Ετικέτες: Mobile target tracking, RSSI, UAV swarm, Unmanned Aerial Vehicles (UAVs), wireless sensor networks | Σύνδεσμοι:
@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}
}
Διεύθυνση
Internet of Things and Applications Lab
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University of Western Macedonia Campus
ZEP Area, Kozani 50100
Greece
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