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

Taewan Kim, Sanghoon Lee
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Abstract

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.
在MIMO自组织战术环境中的最小方差路由
在临时战术环境中,确定保证服务质量(QoS)的最佳路由路径非常重要。本文针对战术环境下MIMO自组织网络中多媒体数据传输的两种不同情况(紧急和普通),探讨了最小方差和最大代价两种路由算法。一般情况下,每个源节点根据最大代价路由算法找到有效的路由路径。在紧急情况下,高优先级节点采用最小方差路由算法。仿真结果表明,最大代价路由算法和最小方差路由算法分别对普通情况和紧急情况是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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