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Min-variance routing over a MIMO ad-hoc tactical environments

机译:MIMO自组织战术环境上的最小方差路由

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摘要

In an ad-hoc tactical environment, it is important to determine an optimal routing path for guaranteeing Quality of Service (QoS). In this paper, we explore the two routing algorithms, named min-variance and max-cost for two different cases (i.e., urgent and ordinary) for transmitting multimedia data in MIMO ad-hoc network such as tactical circumstance. For the ordinary case, each source node finds the effective routing path based on the max-cost routing algorithm. However, for the emergency case, the node with a high priority utilizes the min-variance routing algorithm. The simulation results show that the max-cost and min-variance routing algorithms are effective for the ordinary and emergency cases respectively.
机译:在临时战术环境中,确定最佳路由路径以保证服务质量(QoS)非常重要。在本文中,我们探讨了两种路由算法,分别针对最小情况(max-cost)和最大成本(max-cost),用于在战术情况下在MIMO ad-hoc网络中传输多媒体数据的两种不同情况(即紧急情况和普通情况)。在通常情况下,每个源节点都基于最大成本路由算法找到有效的路由路径。但是,对于紧急情况,具有高优先级的节点将使用最小方差路由算法。仿真结果表明,最大费用和最小方差路由算法分别适用于普通情况和紧急情况。

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