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Advanced sensor placement algorithm for grid modeled networks

机译:网格建模网络的先进传感器放置算法

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Sensor placement is a crucial task for any wireless sensor network (WSN) application. Sensor placement has a direct impact on the efficiency of any WSN application in terms of energy preservation in eliminating redundant transmissions and in terms of coverage of the sensed area. In this work, an advanced sensor placement algorithm which depends on achieving a total coverage with the minimum possible number of sensors is presented. The detection of the sensors is associated to a detection probability matrix in order to reflect different real life scenarios. The algorithm refers to Tabu Search heuristics in order to reduce time and computation complexities. The network is modeled as a grid network in the presence and absence of obstacles. Different experiments are conducted to prove the efficiency of the advanced sensor placement algorithm. Furthermore, when compared with other published work the proposed algorithm achieved a saving of 105 sensors in a network with grid size of 80×80.
机译:传感器放置是任何无线传感器网络(WSN)应用的重要任务。 传感器放置对在消除冗余变速器和感测区域的覆盖范围内的能量保存方面对任何WSN应用的效率直接影响。 在这项工作中,提出了一种提出了具有最小可能数量的传感器的总覆盖的先进传感器放置算法。 传感器的检测与检测概率矩阵相关联,以便反映不同的现实生活场景。 该算法是指Tabu搜索启发式,以减少时间和计算复杂性。 在存在和缺乏障碍物中,网络被建模为网格网络。 进行不同的实验以证明先进的传感器放置算法的效率。 此外,与其他公开的工作相比,所提出的算法在网络中达到了105个传感器,网格尺寸为80×80。

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