Study on Combat Network Self-Recovery Mechanism Based on Load Distribution

Mingxing Zhang, Guangquan Cheng, Shuifa Mei, Yanghe Feng · 2017

Under the combat-targeted network layer description, the paper establishes layered network model for combat-targeted networks so as to facilitate the study on its selfrecovery mechanism.Furthermore, it puts forward the optimal self-recovery strategy of the early warning network layer based on the load redistribution theory.Finally, simulation analysis is performed on the feasibility of the previously studied early warning network layer self-recovery mechanism via the simulated attack.The result shows that the target network's self-recovery mechanism can better utilize the combat capability of the remaining nodes while maintaining greater early warning capacity and minimizing the delay in each node type in the network.

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