In an emergency situation, the required information is collected effectively by mobile devices. But, the low battery size of a mobile device with minimal computational sources is the bottlenecks. Hence the more power utilizing activities can be transferred to the cloud to minimize the load of the mobile devices. In fact, sometimes the lack of Internet access is an extremely difficult task to send mobile data from source to the target cloud. To overcome these problems, an Efficient Emergency Management System using NSGA-II optimization named as E2M has been proposed which works efficiently to manage the emergency situations. E2M is used to find the best mobile device which has higher rank and low Relative Network Load value by optimizing the accessible mobile devices in an emergency situation. The parameters such as precision, recall and F1-score values are used to measure the efficiency of E2M. The experimental results reveal that the E2M outperforms baseline algorithms.

在紧急情况下，所需信息由移动设备有效收集。但是，具有最少计算源的移动设备的低电池尺寸是瓶颈。因此，更多的电力利用活动可以转移到云中，以最小化移动设备的负载。实际上，有时缺少Internet访问是将移动数据从源发送到目标云的极其困难的任务。为了克服这些问题，已经提出了一种使用NSGA-II优化的高效紧急管理系统，称为E2M，可以有效地管理紧急情况。E2M用于通过在紧急情况下优化可访问的移动设备来找到具有较高等级和较低的相对网络负载值的最佳移动设备。诸如精度，召回率和F1得分值用于衡量E2M的效率。实验结果表明，E2M优于基准算法。