摘要
不同数据链所支持的消息格式有所不同,因此多数据链间相互通信时难以进行互操作。针对这一问题,提出了基于消息处理平台的多数据链系统任务分配模型。该模型通过一个消息处理平台对消息格式进行转换并分发给相应的数据链,同时在分析多数据链互操作性的几个主要度量指标的基础上,给出了数据链系统分配模型的数学表达式。然后,结合多数据链消息交换的一个典型应用,采用模拟退火粒子群算法对该模型进行求解。结果表明,在低负载和中等负载情况下,多数据链系统能够在满足互操作性指标的前提下有效地进行消息交换,而且相比于采用标准粒子群算法,模型求解的收敛速度更快,粒子的全局搜索能力更强。
Aimed at the problems that the message formats supported by multiple data links are different, and mul- tiple data links in communicating with each other are difficult to interoperate, a multi-data link system task assign- ment model based on message processing platform is proposed, on which the message format is transformed and distributed to the corresponding data link. This paper analyzes several dominant metrics in multi-data links interop- erability, and gives the mathematical expression. Then considering a typical application of information communica- tion among multi-data links, a simulated annealing particle swarm algorithm is used to solve this model. The simu- lation result shows that multi-data link system can both meet the count of interoperability indicators and achieve ef- fective information communication under either low load or medium load condition. At the same time, compared with the standard particle swarm optimization algorithm, the improved algorithm significantly improves the conver- gence speed and the global search ability.
出处
《空军工程大学学报(自然科学版)》
CSCD
北大核心
2017年第2期95-100,共6页
Journal of Air Force Engineering University(Natural Science Edition)
基金
航空科学基金(20142896022)
关键词
数据链
互操作性
任务分配
粒子群
任务集合
data links
interopera bility
task assignment
particle swarm op timization
tasks set