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Channel-aware optimal placement algorithm for data concentrator unit in smart grid systems

机译:智能电网系统中数据集中器单元的通道感知最优放置算法

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In this paper, the channel-aware optimal location algorithm for the data concentrator unit placement in smart grid systems is proposed. The M/M/1/K queuing model is adopted for analyzing the averaged throughput and delay. The optimization algorithm based on a minimum hop count approach with the acceptable averaged throughput and delay constraints, and the optimal DCU localization methodology are proposed. Specifically, the optimal location algorithm will determine the optimal location for DCU by using the principle of minimum hop count first. If there are multiple locations achieving the minimum hop count and constraints, the averaged received signal strength for the 1st-hop tier will be used as the additional performance metric to select the ultimately optimal location, in which the optimal location achieving the maximum averaged received signal strength will be selected. Hence, the system reliability and performance will be maximized. From the simulation results, it is obvious that the proposed methodology is significantly effective, in which the optimal location for DCU yielding the acceptable averaged throughput and delay with the maximum received signal strength is achieved.
机译:提出了智能电网系统中数据集中器单元配置的信道感知最优定位算法。采用M / M / 1 / K排队模型分析平均吞吐量和时延。提出了一种基于最小跳数方法并具有可接受的平均吞吐量和时延约束的优化算法,以及最优的DCU定位方法。具体而言,最佳位置算法将首先使用最小跳数的原理来确定DCU的最佳位置。如果存在多个达到最小跳数和约束条件的位置,则将第一跳层的平均接收信号强度用作附加的性能指标,以选择最终的最佳位置。将选择实现最大平均接收信号强度的最佳位置。因此,系统的可靠性和性能将得到最大化。从仿真结果可以明显看出,所提出的方法非常有效,其中实现了DCU的最佳位置,该位置产生了可接受的平均吞吐量和具有最大接收信号强度的延迟。

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