A cascading failure model of communication network with logistic function and node capacity expansion strategy

Yuchen Yang; Yenan Yang; Ziqiang Zeng

doi:10.1117/12.2683579

26 June 2023 A cascading failure model of communication network with logistic function and node capacity expansion strategy

Yuchen Yang, Yenan Yang, Ziqiang Zeng

Author Affiliations +

Proceedings Volume 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023); 127211P (2023) https://doi.org/10.1117/12.2683579
Event: 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2023, Chengdu, China

Abstract

There are few uniform models for networks in the real world. This article selects the communication network for study. Usually, when the communication base station exceeds its capacity, a common measure is to transfer the overloaded part of the node to relieve the communication system. This paper introduces the logistic function as the probability function of node failure and develops a cascading failure model with the features of the communication network. Based on the wireless mesh network (WIN) also known as multi-hop mesh network (MHMN) technique to transfer the overloaded part, a new measure which is expanding the node capacity to impact the network vulnerability is discussed. Case study demonstrates the existence of a threshold value for node capacity expansion factor keeping a good balance between cost and network vulnerability and proves the threshold value in the communication network in the real world.

Citation Download Citation

Yuchen Yang, Yenan Yang, and Ziqiang Zeng "A cascading failure model of communication network with logistic function and node capacity expansion strategy", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127211P (26 June 2023); https://doi.org/10.1117/12.2683579

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available