Cloud-Fog Assisted Energy Efficient Architectural Paradigm for Disaster Evacuation

作者：

Highlights：

• This paper contributes an approach to diagnose on-time panic health state of the persons at fog layer.

• This paper provides an approach for transmitting the multi-attribute data to cloud using an energy conserving method.

• This paper predicts the future panic health state of the persons on the basis of current and past panic health states.

• This paper provides an approach to prioritize the evacuation of people based on the panic health-based geographic analysis of the regions.

摘要

•This paper contributes an approach to diagnose on-time panic health state of the persons at fog layer.•This paper provides an approach for transmitting the multi-attribute data to cloud using an energy conserving method.•This paper predicts the future panic health state of the persons on the basis of current and past panic health states.•This paper provides an approach to prioritize the evacuation of people based on the panic health-based geographic analysis of the regions.

论文关键词：Fog computing,Panic attacks,Energy conservation,Fuzzy K-Nearest Neighbour (FK-NN),Principal Component Analysis (PCA),Holt Winters method

论文评审过程：Received 22 May 2020, Revised 9 December 2020, Accepted 24 January 2021, Available online 10 March 2021, Version of Record 26 March 2022.

论文官网地址：https://doi.org/10.1016/j.is.2021.101732