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METHOD AND APPARATUS FOR SEARCHING FOR LOCATION OF PSO-BASED UAV FOR MAXIMIZING SENSING DATA INFORMATION OF UAV IN SENSOR NETWORKS

机译:基于PSO的无人机定位以最大化传感器网络中无人机数据信息的方法和装置

摘要

Suggested are a method and an apparatus for searching for a location of a PSO-based UAV for maximizing sensing data information of the UAV in sensor networks. Embodiments of the present invention relate to a method for renewing a sensor information value in sensor networks and a method for searching for a location based on PSO to maximize the acquisition of sensor data by using a limited number of UAVs. More specifically, the present invention relates to a method to renew a sensor information value of each sensor in sensor networks, to use a PSO optimization technique for each time based on the renewed value, to consider the efficiency for the type of a sensor of each UAV, a maintenance of connection in accordance with the minimum received power which is available, and a packet transmission probability based on a path loss in accordance with a distance, and to search for a location to acquire maximum sensor data. According to an embodiment of the present invention, the method is able to define a particle structure to be used for a PSO optimization in the sensor networks, use a total suitability function considering the efficiency for the type of a sensor of each UAV, maintenance of connection, and packet transmission probability, maximize the sensor data information acquired at all UAVs, and identify the relevant location. Particularly, the present invention is able to renew the sensor information value based on the optimum location information searched previously, perform an optimization of PSO, and search for a location in a time-efficient manner.;COPYRIGHT KIPO 2019
机译:提出了一种用于搜索基于PSO的UAV的位置以最大化传感器网络中的UAV的感测数据信息的方法和设备。本发明的实施例涉及一种用于更新传感器网络中的传感器信息值的方法以及一种用于基于PSO搜索位置以通过使用有限数量的UAV来最大化传感器数据的获取的方法。更具体地,本发明涉及一种更新传感器网络中每个传感器的传感器信息值,基于更新后的值每次使用PSO优化技术,考虑每种传感器类型的效率的方法。 UAV,根据可用的最小接收功率进行的连接维护,以及根据与距离相应的路径损耗的数据包传输概率,并搜索位置以获取最大传感器数据。根据本发明的实施例,该方法能够定义要用于传感器网络中的PSO优化的粒子结构,使用总适用性函数,考虑每个UAV的传感器类型的效率,维护连接和数据包传输概率,可以最大化在所有无人机上获取的传感器数据信息,并确定相关位置。特别地,本发明能够基于先前搜索的最佳位置信息来更新传感器信息值,执行PSO的优化,并且以省时的方式搜索位置。COPYRIGHTKIPO 2019

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