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Sensor Deployment in 3-D Terrain Using Artificial Bee Colony Algorithm

机译:使用人工蜂群算法在3D地形中部署传感器

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The ability to determine the optimal deployment location of sensor nodes in a region to satisfy coverage requirement is a key component of establishing an efficient network. Random deployment of sensor nodes fails to be optimal when nodes are deployed where no targets need to be covered, resulting in wastage of energy. The objective of this paper is to place the given number of sensor nodes such that all targets are covered and the required sensing range is minimum. We model the sensor deployment problem as a clustering problem and the optimal locations for sensor deployment are obtained using Artificial Bee Colony (ABC) algorithm. We analyze how the sensing range varies with the number of sensor nodes and also carry out sensitivity analysis test to find the variation in sensing range if the sensor nodes are deployed in a near optimal position.
机译:确定区域中传感器节点的最佳部署位置以满足覆盖范围要求的能力是建立有效网络的关键组成部分。当将节点部署在不需要覆盖目标的节点上时,传感器节点的随机部署不能达到最佳效果,从而浪费能量。本文的目的是放置给定数量的传感器节点,以便覆盖所有目标,并且所需的感测范围最小。我们将传感器部署问题建模为一个聚类问题,并使用人工蜂群(ABC)算法获得传感器部署的最佳位置。我们分析了感测范围如何随传感器节点数量的变化而变化,并且还进行了敏感性分析测试,以找出如果传感器节点部署在最佳位置附近时感测范围的变化。

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