电讯技术2025，Vol.65Issue(12)：2002-2014,13.DOI:10.20079/j.issn.1001-893x.251106008
平台资源约束下的网络拓扑优化方法
Network Topology Optimization Methods under Platform Resource Constraints
摘要
Abstract
Under multiple platform constraints,including execution time,task capacity,mission range,task complexity,and mission type,there exist high modeling complexity,low resource utilization,and limited topology construction efficiency of distributed network topology optimization.For above problems,a topology optimization method based on hierarchical modeling and node function decoupling is proposed,featuring a four-layer iterative modeling framework and a virtual node mapping mechanism.A 0-1 integer programming model is constructed to maximize task-resource utilization,and a hierarchical solution strategy based on a distributed auction algorithm is developed.Simulation results show that the proposed method effectively reduces modeling complexity,significantly improves topology construction efficiency and resource utilization,and resolves the optimization challenges under multi-constraint conditions,providing a reliable theoretical foundation and efficient algorithmic support for cooperative operations in distributed network systems.关键词
分布式网络/网络拓扑优化/节点功能解耦/资源约束优化/0-1整数规划/分布式竞拍算法Key words
distributed network/network topology optimization/node function decoupling/resource-constrained optimization/0-1 integer programming/distributed auction algorithm分类
信息技术与安全科学引用本文复制引用
FENG Jiahong,SHI Chongxiao..平台资源约束下的网络拓扑优化方法[J].电讯技术,2025,65(12):2002-2014,13.基金项目
国家自然科学基金面上项目(62573100) （62573100）
复杂航空系统仿真全国重点实验室开放式基金(SYS-KFSJJ-2024-1-01-02) （SYS-KFSJJ-2024-1-01-02）
