多数据链任务分配模型及算法仿真
发布时间：2018-08-21 09:30
【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。
[Abstract]:Different data chains support different message formats, so it is difficult to interoperate when multiple data links communicate with each other. In order to solve this problem, the task allocation model of multi-data link system based on message processing platform is proposed. The model converts the message format and distributes it to the corresponding data link through a message processing platform. At the same time, based on the analysis of several main metrics of the interoperability of the multi-data link, The mathematical expression of the allocation model of data link system is given. Then, combined with a typical application of multi-link message exchange, simulated annealing particle swarm optimization algorithm is used to solve the model. The results show that the multi-data link system can effectively exchange messages under the condition of low and medium load, and the convergence speed of the model solution is faster than that of the standard particle swarm optimization algorithm. The global search ability of particles is stronger.
【作者单位】： 空军工程大学航空航天工程学院;
【基金】：航空科学基金(20142896022)
【分类号】：TN919.2;TP18
本文编号：2195289
[Abstract]:Different data chains support different message formats, so it is difficult to interoperate when multiple data links communicate with each other. In order to solve this problem, the task allocation model of multi-data link system based on message processing platform is proposed. The model converts the message format and distributes it to the corresponding data link through a message processing platform. At the same time, based on the analysis of several main metrics of the interoperability of the multi-data link, The mathematical expression of the allocation model of data link system is given. Then, combined with a typical application of multi-link message exchange, simulated annealing particle swarm optimization algorithm is used to solve the model. The results show that the multi-data link system can effectively exchange messages under the condition of low and medium load, and the convergence speed of the model solution is faster than that of the standard particle swarm optimization algorithm. The global search ability of particles is stronger.
【作者单位】： 空军工程大学航空航天工程学院;
【基金】：航空科学基金(20142896022)
【分类号】：TN919.2;TP18
【相似文献】
相关期刊论文 前1条
1 张养瑞;李云杰;高梅国;;协同干扰资源优化分配模型及算法[J];系统工程与电子技术;2014年09期
，本文编号：2195289
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2195289.html
