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The Search Benefits of Autonomous Mobility in Distributed Sensor Networks

机译:分布式传感器网络中自主移动的搜索优势

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We consider a problem of finding the effectiveness of applying varying amounts of motion in fields of autonomous unmanned vehicles performing group search operations. These fields are typically deployed to provide extended coverage over that provided by a single sensor in spatially extended search regions. The autonomous nature of these distributed sensing assets is attributable to constraints on communications bandwidth and manpower. Due to the potential large cost discrepancy between fielding moving searchers and fixed searchers, the potential benefit of searcher motion relative to that achievable by deployment of larger numbers of fixed nodes is a critical operational consideration. We build a parametric analytical model of searcher performance for fields of moving searchers, and through a perturbation analysis examine the effectiveness of searcher motion vice nonmotion in terms of numbers of searchers required to achieve similar goals. Numerical simulations support the conclusions that are obtained.
机译:我们考虑一个问题,即发现在执行群组搜索操作的无人驾驶自动驾驶汽车领域应用各种运动量的有效性。通常部署这些字段以提供比单个传感器在空间扩展搜索区域中提供的覆盖范围更大的覆盖范围。这些分布式传感资产的自主性归因于通信带宽和人力的限制。由于现场移动搜索者与固定搜索者之间潜在的巨大成本差异,因此相对于部署大量固定节点可实现的搜索者运动的潜在利益,是一个至关重要的操作考虑因素。我们建立了针对移动搜索者领域的搜索者绩效的参数分析模型,并通过扰动分析以达到相似目标所需的搜索者数量为依据,检查了搜索者运动副运动的有效性。数值模拟支持所得出的结论。

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