We introduce a new approach for Search-and-Rescue Operations (SAROs) to search for survivors after large-scale disasters, assuming the wireless communication network cells are partially operational and exploiting the recent trend of using Unmanned Aerial Vehicles (UAVs) as a part of the network. These SAROs are based on the idea that almost all survivors have their own wireless mobile devices, called User Equipments (UEs), which serve as human-based sensors on the ground. Our approach is aimed at accounting for limited UE battery power while providing critical information to first responders: 1) generate immediate crisis maps for the disaster-impacted areas, 2) provide vital information about where the majority of survivors are clustered/crowded, and 3) prioritize the impacted areas to identify regions that urgently need communication coverage.

我们介绍了一种新的搜索和救援行动（SARO）方法，以在大规模灾难后寻找幸存者，假设无线通信网络单元已部分运行，并充分利用了使用无人机的最新趋势网络。这些SARO的基本思想是，几乎所有幸存者都拥有自己的无线移动设备，称为用户设备（UE），可作为地面上基于人类的传感器。我们的方法旨在解决UE电池电量有限的问题，同时向急救人员提供关键信息：1）为受灾地区立即生成危机地图； 2）提供有关大多数幸存者聚集/拥挤地点的重要信息； 3 ）确定受影响区域的优先级，以识别急需通信覆盖的区域。