TY - GEN
T1 - A Novel Ant Colony and Sparrow Search Optimization-Based Routing Algorithm for LEO Satellite Networks
AU - Li, Yuanfeng
AU - Zhang, Qi
AU - Wang, Fu
AU - Tian, Feng
AU - Feng, Weiying
AU - Tian, Qinghua
AU - Wang, Yongjun
AU - Yang, Leijing
AU - Chai, Furong
AU - Meng, Sun
AU - Li, Xiaohu
N1 - Publisher Copyright:
©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - To improve the convergence capability of ant colony routing in LEO satellite networks, a novel hybrid ant colony-sparrow search optimization routing algorithm is proposed. The sparrow algorithm is used to identify local optimal solutions in the ACO routing process and guide the algorithm to re-converge. Simulation results show that, compared to the traditional ACO algorithm, the proposed algorithm significantly improves communication delay and reduces communication costs.
AB - To improve the convergence capability of ant colony routing in LEO satellite networks, a novel hybrid ant colony-sparrow search optimization routing algorithm is proposed. The sparrow algorithm is used to identify local optimal solutions in the ACO routing process and guide the algorithm to re-converge. Simulation results show that, compared to the traditional ACO algorithm, the proposed algorithm significantly improves communication delay and reduces communication costs.
KW - LEO satellite network
KW - ant colony optimization
KW - routing algorithm
KW - sparrow optimization
UR - https://www.scopus.com/pages/publications/85218346235
U2 - 10.1109/ICDSCA63855.2024.10859431
DO - 10.1109/ICDSCA63855.2024.10859431
M3 - 会议稿件
AN - SCOPUS:85218346235
T3 - 2024 IEEE 4th International Conference on Data Science and Computer Application, ICDSCA 2024
SP - 45
EP - 49
BT - 2024 IEEE 4th International Conference on Data Science and Computer Application, ICDSCA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Data Science and Computer Application, ICDSCA 2024
Y2 - 22 November 2024 through 24 November 2024
ER -