TY - GEN
T1 - A Self-deployment Algorithm for Flying Ad Hoc Networks (FANETs) towards Low Probability of Detection Coverage in Directional Antennas
AU - Fan, Jianrui
AU - Zhang, Lijuan
AU - Shen, Gaoqin
AU - Li, Zhilin
AU - Cao, Pan
AU - Lei, Lei
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/28
Y1 - 2020/10/28
N2 - Nowadays unmanned aerial vehicle (UAV) has gradually entered people's vision because of its huge application potential, like target tracking, area coverage, remote sensing, etc. In the considered FANETs, one crucial problem is how to decrease the probability of being discovered by an adversary's detection system, while achieving efficient deployment and maintaining the connectivity of the network. To solve this problem, we propose a distributed virtual force motion control (DVFMC) algorithm. This algorithm requires no global information, and every node only finds and communicates with its neighbors automatically. They automatically maintain distance with high-risk areas and perform power control to decrease the energy leakage and therefore have a low probability of detection (LPD) coverage. Our comparative simulation results validate that our algorithm can reduce greatly the probability of being discovered by the adversary's detection system.
AB - Nowadays unmanned aerial vehicle (UAV) has gradually entered people's vision because of its huge application potential, like target tracking, area coverage, remote sensing, etc. In the considered FANETs, one crucial problem is how to decrease the probability of being discovered by an adversary's detection system, while achieving efficient deployment and maintaining the connectivity of the network. To solve this problem, we propose a distributed virtual force motion control (DVFMC) algorithm. This algorithm requires no global information, and every node only finds and communicates with its neighbors automatically. They automatically maintain distance with high-risk areas and perform power control to decrease the energy leakage and therefore have a low probability of detection (LPD) coverage. Our comparative simulation results validate that our algorithm can reduce greatly the probability of being discovered by the adversary's detection system.
KW - Flying Ad Hoc Networks
KW - UAV
KW - area coverage
KW - deployment algorithm
KW - low probability of detection
UR - https://www.scopus.com/pages/publications/85099533801
U2 - 10.1109/ICCT50939.2020.9295867
DO - 10.1109/ICCT50939.2020.9295867
M3 - Conference contribution
AN - SCOPUS:85099533801
T3 - International Conference on Communication Technology Proceedings, ICCT
SP - 898
EP - 902
BT - 2020 IEEE 20th International Conference on Communication Technology, ICCT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Communication Technology, ICCT 2020
Y2 - 28 October 2020 through 31 October 2020
ER -