Study on Combat Network Self-Recovery Mechanism Based on Load Distribution
Mingxing Zhang, Guangquan Cheng, Shuifa Mei, Yanghe Feng
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.100How to use a DOI?
- Target Network; Self-recovery Mechanism; Load Distribution
- 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 self-recovery 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Mingxing Zhang AU - Guangquan Cheng AU - Shuifa Mei AU - Yanghe Feng PY - 2016/10 DA - 2016/10 TI - Study on Combat Network Self-Recovery Mechanism Based on Load Distribution BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 770 EP - 777 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.100 DO - https://doi.org/10.2991/ceie-16.2017.100 ID - Zhang2016/10 ER -