Vol. 17, No. 9, September 30, 2023
10.3837/tiis.2023.09.007,
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Abstract
Command and control networks(C2N) exhibit evident multi-network interdependencies owing
to their complex hierarchical associations, interleaved communication links, and dynamic
network changes. However, the existing command and control networks do not consider the
effects of dependent nodes on the load distribution. Thus, we proposed a command and control
networks load allocation strategy based on interdependence strength. First, a new measure of
interdependence strength was proposed based on the edge betweenness, which was followed
by proposing the inter-layer load allocation strategy based on the interdependence strength.
Eventually, the simulation experiments of the aforementioned strategy were designed to
analyze the network invulnerability with different initial load capacity parameters, allocation
model parameters, and allocation strategies. The simulation indicates that the strategy
proposed in this study improved the node survival rate of the interdependent command and
control networks model and successfully prevented cascade failures.
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Cite this article
[IEEE Style]
B. Chen, G. Pang, Z. Xiang, H. Tao, Y. Chen, "Load Allocation Strategy for Command and Control Networks based on Interdependence Strength," KSII Transactions on Internet and Information Systems, vol. 17, no. 9, pp. 2419-2435, 2023. DOI: 10.3837/tiis.2023.09.007.
[ACM Style]
Bo Chen, Guimei Pang, Zhengtao Xiang, Hang Tao, and Yufeng Chen. 2023. Load Allocation Strategy for Command and Control Networks based on Interdependence Strength. KSII Transactions on Internet and Information Systems, 17, 9, (2023), 2419-2435. DOI: 10.3837/tiis.2023.09.007.
[BibTeX Style]
@article{tiis:55996, title="Load Allocation Strategy for Command and Control Networks based on Interdependence Strength", author="Bo Chen and Guimei Pang and Zhengtao Xiang and Hang Tao and Yufeng Chen and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2023.09.007}, volume={17}, number={9}, year="2023", month={September}, pages={2419-2435}}