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Deploying Additional Sensors with Energy and Interference Optimization

机译:通过能量和干扰优化部署其他传感器

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Topology control in wireless sensor networks tries to lower node energy consumption by reducing transmission power and by confining interference, collisions and consequently retransmissions. In this paper, we analyze popular algorithms used for optimizing the power consumption in the sensor network and propose a novel technique wherein power consumption is traded with additional relay nodes. We introduce additional relay nodes to make the network connected instead of increasing the power. The proposed method reduces interference offered to each link and thereby results in improved BER or data rates. We design and analyze an algorithm that place an almost minimum number of additional sensors required to make network connected. We have implemented greedy version of this algorithm and demonstrated in simulation that is produces a high quality link. We use InterAvg, InterMax (no of nodes that can offer interference) MinMax. and MinTotal as metrics to analyze and compare various algorithms.
机译:无线传感器网络中的拓扑控制试图通过降低传输功率并限制干扰,冲突和因此的重传来降低节点能耗。在本文中,我们分析了用于优化传感器网络功耗的流行算法,并提出了一种新技术,其中功耗与其他中继节点进行了交换。我们引入了其他中继节点来使网络连接,而不是增加功率。所提出的方法减少了提供给每个链路的干扰,从而提高了BER或数据速率。我们设计并分析了一种算法,该算法放置了使网络连接所需的最少数量的附加传感器。我们已经实现了该算法的贪婪版本,并在仿真中进行了演示,该仿真可以产生高质量的链接。我们使用InterAvg,InterMax(没有可提供干扰的节点)MinMax。和MinTotal作为指标来分析和比较各种算法。

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