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Modelling the mobile target covering problem using flying drones

机译:使用飞行无人机为移动目标覆盖问题建模

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This paper addresses the mobile targets covering problem by using unmanned aerial vehicles (UAVs). It is assumed that each UAV has a limited initial energy and the energy consumption is related to the UAV's altitude. Indeed, the higher the altitude, the larger the monitored area and the higher the energy consumption. When an UAV runs out of battery, it is replaced by a new one. The aim is to locate UAVs in order to cover the piece of plane in which the target moves by using a minimum number of UAVs. Each target has to be monitored for each instant time. The problem under consideration is mathematically represented by defining mixed integer non-linear optimization models. Heuristic procedures are defined and they are based on restricted mixed integer programming (MIP) formulation of the problem. A computational study is carried out to assess the behaviour of the proposed models and MIP-based heuristics. A comparison in terms of efficiency and effectiveness among models and heuristics is carried out.
机译:本文通过使用无人机来解决可移动目标覆盖问题。假定每个无人机具有有限的初始能量,并且能量消耗与无人机的高度有关。实际上,海拔越高,被监视区域越大,能耗也就越高。当一架无人机的电池电量用完时,将其换成新的。目的是定位无人机,以通过使用最少数量的无人机来覆盖目标在其中移动的飞机。必须在每个即时时间监视每个目标。通过定义混合整数非线性优化模型来数学表示所考虑的问题。定义了启发式过程,它们基于问题的受限混合整数规划(MIP)公式。进行了一项计算研究,以评估提出的模型和基于MIP的启发式算法的行为。在模型和启发式方法之间进行了效率和有效性方面的比较。

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