通信学报2018，Vol.39Issue(4)：1-12,12.DOI:10.11959/j.issn.1000-436x.2018070
FANET中时延感知的跨层优化方法
Delay-aware cross-layer optimization method for FANET
摘要
Abstract
An asynchronous distributed cross-layer optimization (ADCO) method was proposed to solve the problem of jointly considering real-time routing, rate allocation and power control in FANET (flying ad hoc network). And a de-lay-constrained cross-layer optimization framework was designed to formally represent proposed problem. Then Lagrangian relaxation and dual decomposition methods was used to divide joint optimization problem into several sub-problems. ADCO allowed each relay node to perform the optimization operation for different sub-problems with lo-cal information, and the relay nodes could update the dual variables based on asynchronous update mechanism. The sim-ulation results show that the proposed algorithm can improve the network performance effectively in terms of energy ef-ficiency, packet timeout ratio and network throughput.关键词
FANET/时延感知/跨层优化/对偶分解/异步更新Key words
FANET/delay-aware/cross-layer optimization/dual decomposition/asynchronous update分类
信息技术与安全科学引用本文复制引用
文少杰,黄传河..FANET中时延感知的跨层优化方法[J].通信学报,2018,39(4):1-12,12.基金项目
国家自然科学基金资助项目(No.61373040,No.61572370)The National Natural Science Foundation of China(No.61373040,No.61572370) （No.61373040,No.61572370）
