Abstract
An improved routing method to reduce the risk of electric power communication networks (EPCN), called low risk routing method (LRRM), is proposed based on the fact that different types of traffic with different service importance levels in EPCN. In order to calculate the vulnerability of EPCN under artificial attacks, deliberate attack and betweenness first attack models are created. Based on the attack models, a routing model considering service importance distribution, edge betweenness distribution and path length is presented. Taking into account both network risk and service delay requirements, optimized routing is calculated using Dijkstra algorithm and chaotic clonal genetic algorithm (CCGA). Under different artificial attacks, the vulnerability of an EPCN applying LRRM and Shortest Path First method (SPFM) are compared by numerical simulation. The results show that LRRM can effectively reduce the network risk.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
