.png){kind=icon}
.png){kind=icon}
Return
E2M: An Efficient Emergency Management System
.png){kind=icon}
PRE
AI
DOI：10.1007/s13369-020-04809-8.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Emergency
Network
Mobile device
Cloud computing
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.7
Papers:
4.8K
Citations:
1.1W