Weapon-target assignment in unreliable peer-to-peer architecture based on adapted artificial bee colony algorithm

Autor: Shyan-Ming Yuan, Riqing Chen, De-Yu Liu, Xiaolong Liu, Jinchao Liang
Rok vydání: 2021
Předmět:
Zdroj: Frontiers of Computer Science. 16
ISSN: 2095-2236
2095-2228
DOI: 10.1007/s11704-021-0395-8
Popis: It is of great significance for headquarters in warfare to address the weapon-target assignment (WTA) problem with distributed computing nodes to attack targets simultaneously from different weapon units. However, the computing nodes on the battlefield are vulnerable to be attacked and the communication environment is usually unreliable. To solve the WTA problems in unreliable environments, this paper proposes a scheme based on decentralized peer-to-peer architecture and adapted artificial bee colony (ABC) optimization algorithm. In the decentralized architecture, the peer computing node is distributed to each weapon units and the packet loss rate is used to simulate the unreliable communication environment. The decisions made in each peer node will be merged into the decision set to carry out the optimal decision in the decentralized system by adapted ABC algorithm. The experimental results demonstrate that the decentralized peer-to-peer architecture perform an extraordinary role in the unreliable communication environment. The proposed scheme preforms outstanding results of enemy residual value (ERV) with the packet loss rate in the range from 0 to 0.9.
Databáze: OpenAIRE
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