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Predictive activation for localization using minimal data-fusion in MANETs

机译:在MANET中使用最少的数据融合进行本地化的预测性激活

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We propose a unique localization algorithm for MANETs: the mobile infrastructure-less networks with support of static underlying wireless sensor network nodes. The algorithm has been designed with two stages for localizing the MANET. The first stage is the naive activation stage which acts as the bootstrap for the prediction stage. The predictive minimal energy consumption algorithm incorporates the information from the measured TOA (Time Of Arrival) to locate the mobile nodes. The experimental results and comparative analysis show that our system provides accurate localization of linearly moving MANET's using low power consumption of the underlying wireless sensor networks.
机译:我们为MANET提出了一种独特的定位算法:支持静态基础无线传感器网络节点的无移动基础设施网络。该算法设计有两个阶段用于本地化MANET。第一阶段是天真的激活阶段,它充当预测阶段的引导程序。预测性最小能耗算法结合了来自测得的TOA(到达时间)的信息以定位移动节点。实验结果和比较分析表明,我们的系统使用底层无线传感器网络的低功耗提供了线性移动MANET的精确定位。

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