TY - GEN
T1 - A Dynamic Scale UAV Weighted Clustering Algorithm
AU - Wang, Xiangyu
AU - Liu, Zhengyang
AU - Jian, Chunxiao
AU - Shi, Shuhao
AU - Gu, Junbo
AU - Shi, Fengyuan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - To resolve the problem of network management problem in UAV formation, a dynamic scale UAV weighted clustering algorithm(DSWCA) is proposed in this paper, in which the cluster structure for network optimization is used. By Determining the optimal, maximum and minimum values of the cluster scale and make the cluster scale dynamic, the algorithm can achieve superior performance in network load balance. In the maintenance stage, a cluster head replacement threshold is introduced to replace the original cluster heads in time before the energy is run out, which avoids frequent cluster reorganization and fusion, thus the stability of the UAV formation is improved and the UAV formation survival cycle is extended. Simulation results show that THE performance DSWCA better than other UAV clustering algorithms.
AB - To resolve the problem of network management problem in UAV formation, a dynamic scale UAV weighted clustering algorithm(DSWCA) is proposed in this paper, in which the cluster structure for network optimization is used. By Determining the optimal, maximum and minimum values of the cluster scale and make the cluster scale dynamic, the algorithm can achieve superior performance in network load balance. In the maintenance stage, a cluster head replacement threshold is introduced to replace the original cluster heads in time before the energy is run out, which avoids frequent cluster reorganization and fusion, thus the stability of the UAV formation is improved and the UAV formation survival cycle is extended. Simulation results show that THE performance DSWCA better than other UAV clustering algorithms.
KW - UAV formation
KW - cluster head replacement threshold
KW - clustering algorithm
KW - dynamic scale
UR - https://www.scopus.com/pages/publications/85124167944
U2 - 10.1109/ICUS52573.2021.9641153
DO - 10.1109/ICUS52573.2021.9641153
M3 - Conference contribution
AN - SCOPUS:85124167944
T3 - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
SP - 209
EP - 213
BT - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
Y2 - 15 October 2021 through 17 October 2021
ER -