Using realistic factors to simulate catastrophic congestion events in a network

运用现实因素模拟网络重大拥堵事件

Christopher Dabrowski,Kevin Mills

Computer communications. 2017 Nov:112:10.1016/j.comcom.2017.08.006. DOI:10.1016/j.comcom.2017.08.006

A game theory-based COVID-19 close contact detecting method with edge computing collaboration

基于游戏理论的边缘计算协作的COVID-19密切接触检测方法

Yue Shen,Bowen Liu,Xiaoyu Xia et al.

Computer communications. 2023 Jul 1:207:36-45. DOI:10.1016/j.comcom.2023.04.029

A new federated learning-based wireless communication and client scheduling solution for combating COVID-19

Shuhong Chen,Zhiyong Jie,Guojun Wang et al.

Computer communications. 2023 Jun 1:206:101-109. DOI:10.1016/j.comcom.2023.04.023

Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach

可靠高效的应急救援网络：基于区块链和烟花算法的方法

Bin Chen,Weihua Zhang,Yijin Shi et al.

Computer communications. 2023 Jun 1:206:172-177. DOI:10.1016/j.comcom.2023.05.005

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd

Jianheng Tang,Kejia Fan,Wenxuan Xie et al.

Computer communications. 2023 Jun 1:206:85-100. DOI:10.1016/j.comcom.2023.04.030