天地一体化信息网络2025，Vol.6Issue(4)：51-58,8.DOI:10.11959/j.issn.1000-0801.2025038
基于改进萤火虫算法的卫星边缘计算卸载策略
Offloading Strategy for Satellite Edge Computing Based on Improved Glowworm Algorithm
LE Hengzhi 1LI Yue 1YUAN Yiqing1
作者信息
- 1. Unit 91977 of the PLA,Beijing 100036,China
- 折叠
摘要
Abstract
Satellite networks,with their global coverage advantages,play a crucial role in supporting 6G networks.The integration of mobile edge computing into low earth orbit satellite constellations can provide ground users with low-latency and highly reliable ser-vices.Considering the randomness of ground user demands and the heterogeneity of satellite resources,which lead to imbalanced satel-lite workloads,the task allocation problem is formulated as a mathematical optimization model to ensure a reasonable distribution of satellite tasks.Furthermore,an improved glowworm algorithm is designed to obtain the optimal solution.Comparative evaluations with benchmark algorithms,the effectiveness of the proposed approach has been validated through simulations.关键词
卫星边缘计算/任务卸载/负载均衡/萤火虫算法Key words
satellite edge computing/task offloading/workload balance/glowworm algorithm分类
信息技术与安全科学引用本文复制引用
LE Hengzhi,LI Yue,YUAN Yiqing..基于改进萤火虫算法的卫星边缘计算卸载策略[J].天地一体化信息网络,2025,6(4):51-58,8.
