Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things
Authors:
Open Access
- 29 November 2022
- journal article
- research article
- Published by SAGE Publications in International Journal of Distributed Sensor Networks
- Vol. 18 (11)
Abstract
In the future, the Internet of things will reduce the cell radius and increase the number of low-power nodes to support thousands of times of traffic growth under 5G. As a virtual multiple input multiple output technology, cooperative communication technology can solve these problems effectively. According to the evolution characteristics of cooperative communication networks, a multi-domain cooperative communication network evolution model with preferential attachment and random attachment is constructed in this article. And then, the network properties and robustness are analyzed using the mean-field method and different attacks. Aiming at the resource constraints and resource allocation problems of communication nodes, a relay selection strategy based on the combination of maximum degree and minimum clustering coefficient is proposed. The simulation results show that the relay node selection strategy based on the combination of maximum degree and minimum clustering coefficient has significant advantages in selection steps and selection time, which greatly enhanced the performance of relay selection in multi-domain cooperative communication networks. Through real-time monitoring and updating of the performance and security indicators of the multi-domain cooperative communication networks, it provides a strong guarantee for the node deployment and security management of the Internet of things cooperative communication system.Keywords
Funding Information
- China Postdoctoral Science Foundation (2021M692400)
- National Natural Science Foundation of China (61973201, 62006169)
- National Key Science Research and Development Program of China (2018YF2000701)
- Research and Development Plan of Science and Technology of Chinese (P2021S005, N2021X007)
This publication has 28 references indexed in Scilit:
- Nonlinear dynamic evolution and control in CCFN with mixed attachment mechanismsPhysica A: Statistical Mechanics and its Applications, 2017
- Effects of link-orientation methods on robustness against cascading failures in complex networksPhysica A: Statistical Mechanics and its Applications, 2016
- Research of cooperative communication network with both preferential and random attachmentsCommunications in Nonlinear Science and Numerical Simulation, 2016
- Identifying node importance in complex networksPhysica A: Statistical Mechanics and its Applications, 2015
- Growing scale-free networks with tunable distributions of triad motifsPhysica A: Statistical Mechanics and its Applications, 2015
- Weighted scale-free networks induced by group preferential mechanismPhysica A: Statistical Mechanics and its Applications, 2011
- A comprehensive multi-local-world model for complex networksPhysics Letters A, 2009
- Effects of accelerating growth on the evolution of weighted complex networksPhysica A: Statistical Mechanics and its Applications, 2009
- Connectivity distribution and attack tolerance of general networks with both preferential and random attachmentsPhysics Letters A, 2002
- Mean-field theory for scale-free random networksPhysica A: Statistical Mechanics and its Applications, 1999