QoS Algorithm for Localised Routing Based on Bandwidth as the Dominant Metric for Candidate Path Selection

2010 ◽  
Author(s):  
Turki A. Alghamdi ◽  
M.E. Woodward
Keyword(s):  
Path Selection ◽  
Candidate Path

Candidate Path Selection Method for TCP Performance Improvement in Fixed Robust Routing

2016 ◽  
Vol 5 (6) ◽  
pp. 445-453
Author(s):  
Yukinobu Fukushima ◽  
Takashi Matsumura ◽  
Kazutaka Urushibara ◽  
Tokumi Yokohira
Keyword(s):  
Performance Improvement ◽  
Selection Method ◽  
Path Selection ◽  
Tcp Performance ◽  
Robust Routing ◽  
Candidate Path

Candidate Path Selection

2003 ◽  
pp. 71-86
Author(s):  
Srihari Nelakuditi ◽  
Zhi-Li Zhang
Keyword(s):  
Path Selection ◽  
Candidate Path

Resource-Aware Path Selection in Heterogeneous Self-Organizing Wireless Networks

2010 ◽  
Vol E93-B (12) ◽  
pp. 3647-3650
Author(s):  
Bongjhin SHIN ◽  
Hoyoung CHOI ◽  
Daehyoung HONG
Keyword(s):  
Wireless Networks ◽  
Path Selection ◽  
Resource Aware ◽  
Self Organizing

scholarly journals Network Attack Path Selection and Evaluation Based on Q-Learning

2020 ◽  
Vol 11 (1) ◽  
pp. 285
Author(s):  
Runze Wu ◽  
Jinxin Gong ◽  
Weiyue Tong ◽  
Bing Fan
Keyword(s):  
Distribution System ◽  
Path Selection ◽  
Cyber Attacks ◽  
Power Distribution System ◽  
Q Learning ◽  
Attack Model ◽  
Cross Domain ◽  
Time Operation ◽  
Attack Path ◽  
The Impact

As the coupling relationship between information systems and physical power grids is getting closer, various types of cyber attacks have increased the operational risks of a power cyber-physical System (CPS). In order to effectively evaluate this risk, this paper proposed a method of cross-domain propagation analysis of a power CPS risk based on reinforcement learning. First, the Fuzzy Petri Net (FPN) was used to establish an attack model, and Q-Learning was improved through FPN. The attack gain was defined from the attacker’s point of view to obtain the best attack path. On this basis, a quantitative indicator of information-physical cross-domain spreading risk was put forward to analyze the impact of cyber attacks on the real-time operation of the power grid. Finally, the simulation based on Institute of Electrical and Electronics Engineers (IEEE) 14 power distribution system verifies the effectiveness of the proposed risk assessment method.

Where To: Crowd-Aided Path Selection by Selective Bayesian Network

2021 ◽  
pp. 1-1
Author(s):  
Chen Zhang ◽  
Haodi Zhang ◽  
Weiteng Xie ◽  
Nan Liu ◽  
Kaishun Wu ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Path Selection
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