TY - GEN
T1 - Performance Analysis of UAV-Assisted Sensor Networks for Emergency Scenarios
AU - Althunibat, Saud
AU - Dabiri, Mohammad Taghi
AU - Hasna, Mazen
AU - Qaraqe, Khalid
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Involving Unmanned Aerial Vehicles (UAVs) in wire-less networks has been widely investigated in the literature considering different scenarios such as emergency scenarios in which UAV(s) can play a significant role by compensating the damaged/lost network's components. For example, Sensor Networks (SNs) in emergency scenarios may lose some sensor nodes or the Central Entity (CE) itself, which requires fast, prompt and efficient alternative to replace them. Therefore, UAVs are widely nominated to such a role due to their flexibility and maneuverability. However, compared to ground-based entities, UAVs suffer from the continuous position fluctuations, which directly affects the antenna's orientation. Such an effect becomes a serious challenge in high frequency links such as millimeter wave (mmWave) links which are very sensitive to antennas misalignment. In this paper, the performance of UAV-based SNs is addressed by analyzing the impact of UAV's vibration on the performance metrics including detection and false-alarm probabilities. To this end, two network models are adopted, namely, Ground-based Hybrid SN (G-HSN) and Aerial-based Hybrid SN (A-HSN), depending on whether the CE is ground or aerial node. A mathematical framework is followed to express performance metrics in closed form expressions considering practical conditions including channel fading, orientation fluctuations of directional mmWave antennas and path loss. Simulation results validate the accuracy of the derived mathematical expressions and depict the impact of different operational parameters.
AB - Involving Unmanned Aerial Vehicles (UAVs) in wire-less networks has been widely investigated in the literature considering different scenarios such as emergency scenarios in which UAV(s) can play a significant role by compensating the damaged/lost network's components. For example, Sensor Networks (SNs) in emergency scenarios may lose some sensor nodes or the Central Entity (CE) itself, which requires fast, prompt and efficient alternative to replace them. Therefore, UAVs are widely nominated to such a role due to their flexibility and maneuverability. However, compared to ground-based entities, UAVs suffer from the continuous position fluctuations, which directly affects the antenna's orientation. Such an effect becomes a serious challenge in high frequency links such as millimeter wave (mmWave) links which are very sensitive to antennas misalignment. In this paper, the performance of UAV-based SNs is addressed by analyzing the impact of UAV's vibration on the performance metrics including detection and false-alarm probabilities. To this end, two network models are adopted, namely, Ground-based Hybrid SN (G-HSN) and Aerial-based Hybrid SN (A-HSN), depending on whether the CE is ground or aerial node. A mathematical framework is followed to express performance metrics in closed form expressions considering practical conditions including channel fading, orientation fluctuations of directional mmWave antennas and path loss. Simulation results validate the accuracy of the derived mathematical expressions and depict the impact of different operational parameters.
KW - Emergency management
KW - Millimeter Wave
KW - Sensor Networks
KW - Unmanned Aerial Vehicles
UR - http://www.scopus.com/inward/record.url?scp=85206211833&partnerID=8YFLogxK
U2 - 10.1109/VTC2024-Spring62846.2024.10683660
DO - 10.1109/VTC2024-Spring62846.2024.10683660
M3 - Conference contribution
AN - SCOPUS:85206211833
T3 - Ieee Vehicular Technology Conference Vtc
BT - 2024 Ieee 99th Vehicular Technology Conference, Vtc2024-spring
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024
Y2 - 24 June 2024 through 27 June 2024
ER -