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DYNAMIC ACTIVATION OF REACH-BACK RESOURCES FOR FUTURE FORCE BRIGADE COMBAT TEAMS (BCT)

机译:未来力量战斗团队(BCT)的动态激活REACH-BACK RESULES(BCT)

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This paper describes a new iterative approach to optimizing scarce communication resources that achieve reliable connectivity with high throughput and performance. The procedure consists of iteration between two steps. A set of platforms are generated from a scenario that contains predefined waveform capabilities and programmatically generated gateways and regions. With this input, a set of nodes are activated. The resulting network is evaluated on the quality of its arrangement. Using a Shortest Path First (SPF) algorithm, connectivity is found for all platform pairs. The costs assigned to the individual links and end-to-end routes serve as weights in the performance functions. The network connectivity performance cost function evaluates the costs of all complete and incomplete routes in the network, determining how well connected the platforms are. The network traffic performance cost function calculates the resulting traffic load placed on each waveform. These derived values will dictate if any changes are needed in the network. Succeeding iterations activate the nodes, with knowledge of the previous activations. Aware of the needed improvement, the program selects nodes that will lessen the mean number of hops and reduce the congestion in whichever waveform is over burdened. This process continues until a low enough cost is generated, resulting in an optimized network.
机译:本文介绍了一种新的迭代方法,可以优化稀缺通信资源,以高吞吐量和性能实现可靠的连接。该过程包括两个步骤之间的迭代。从包含预定义波形功能和以编程方式生成的网关和区域生成的场景生成一组平台。使用此输入,激活一组节点。得到的网络是对其安排的质量评估的。使用最短路径第一(SPF)算法,找到所有平台对的连接。分配给各个链接和端到端路由的费用用作性能函数的权重。网络连接性能成本函数评估网络中所有完整和不完整路线的成本,确定平台的连接程度。网络流量性能成本函数计算在每个波形上放置的由此产生的业务负载。如果网络中需要任何更改,则这些派生值将决定。后续迭代激活节点,了解以前的激活。意识到所需的改进,程序选择将减少跳跃的平均数的节点,并在其中波形过度负担时减少拥塞。该过程继续,直到产生足够低的成本,导致优化的网络。

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