TY - GEN
T1 - Swarm UAV Network Constraints in Damaged Infrastructures
AU - Khayat, Grace
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Mongay Batalla, Jordi
AU - Pallis, Evangelos
N1 - Funding Information:
This research was funded by the Centre for Priority Research Area Artificial Intelligence and Robotics of Warsaw University of Technology within the Excellence Initiative: Research University (IDUB) programme (Contract No. 1820/29/Z01/POB2/2021). The work of the Polish investigators has been funded by the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No 871582 (NGIatlantic: Experiment on security features of multi-provider mobile network infrastructure). Parts of this work were supported by the Smart and Health Ageing through People Engaging in supporting Systems (SHAPES) project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857159.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Unmanned aerial vehicles (UAVs) which are commonly known as drones are highly reliable in data transportation, especially whenever terrestrial access is unavailable due to geographical limitations. Several UAVs might collaborate to perform tasks in several applications such as rescue, military, and others. This collection of UAVs is known as a swarm of unmanned aerial vehicles. Drones can be used as aerial relays in complex communication scenarios thus establishing a reliable end-to-end transmission. Wireless Sensor Network (WSN) consists of sensor nodes and base stations. The sensors of WSN are widely dispersed in predefined geographical fields. These sensors might be used for continuous monitoring for example temperature or might be used for event triggers example whenever the temperature exceeds a certain threshold an alarm is fired. In a crisis case scenario, the base station which acts as a relay to upload the sensed data to the internet might be nonfunctional thus resulting in a disconnected network and loss of sensed data. This paper proposes the usage of a swarm of UAVs to upload data from the WSN network to the internet whenever the base station is nonfunctional. This paper will study the mathematical correlation between the parameters of this network taking into consideration the constraint to avoid collisions between the UAVs. A simulation using MATLAB studies the effect of the number of levels in the WSN, the range of communication, UAV's velocity, and UAv's trajectory on the network performance.
AB - Unmanned aerial vehicles (UAVs) which are commonly known as drones are highly reliable in data transportation, especially whenever terrestrial access is unavailable due to geographical limitations. Several UAVs might collaborate to perform tasks in several applications such as rescue, military, and others. This collection of UAVs is known as a swarm of unmanned aerial vehicles. Drones can be used as aerial relays in complex communication scenarios thus establishing a reliable end-to-end transmission. Wireless Sensor Network (WSN) consists of sensor nodes and base stations. The sensors of WSN are widely dispersed in predefined geographical fields. These sensors might be used for continuous monitoring for example temperature or might be used for event triggers example whenever the temperature exceeds a certain threshold an alarm is fired. In a crisis case scenario, the base station which acts as a relay to upload the sensed data to the internet might be nonfunctional thus resulting in a disconnected network and loss of sensed data. This paper proposes the usage of a swarm of UAVs to upload data from the WSN network to the internet whenever the base station is nonfunctional. This paper will study the mathematical correlation between the parameters of this network taking into consideration the constraint to avoid collisions between the UAVs. A simulation using MATLAB studies the effect of the number of levels in the WSN, the range of communication, UAV's velocity, and UAv's trajectory on the network performance.
KW - crisis scenario
KW - disconnected network
KW - Routing Protocols
KW - sensor
KW - Swarm
KW - UAV
KW - WSN
UR - http://www.scopus.com/inward/record.url?scp=85137264370&partnerID=8YFLogxK
U2 - 10.1109/ICC45855.2022.9839071
DO - 10.1109/ICC45855.2022.9839071
M3 - Conference contribution
AN - SCOPUS:85137264370
T3 - IEEE International Conference on Communications
SP - 835
EP - 840
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -