C4ISR Service Deployment Based on an Improved Quantum Evolutionary Algorithm

• Published in: IEEE eTransactions on network and service management Vol. 18; no. 2; pp. 2405 - 2419
• Main Authors: Jiao, Zhiqiang, Zhang, Jieyong, Yao, Peiyang, Wan, Lujun, Wang, Xun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bandwidth; Bandwidth constraints C4ISR service deployment; Cloud computing; Command and control; Communication; Computational modeling; Evolutionary algorithms; Genetic algorithms; Information flow; pairwise exchange method; Processor scheduling; quantum evolutionary algorithm; Search algorithms; Service introduction; Service-oriented architecture; Software; Task analysis
• ISSN: 1932-4537; 1932-4537
• DOI: 10.1109/TNSM.2021.3054752

To overcome the limited communication bandwidth in the deployment of command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) services, a service deployment platform was extended from the cloud to a terminal platform based on the concept of fog computing. Additionally, computing and memory resources on the terminal platform were used to alleviate the communication pressure due to the flow of combat information. A corresponding C4ISR service deployment model was constructed, and the quantum evolutionary algorithm, the shortest path algorithm, and the pairwise exchange method were combined to create a two-level search algorithm. This method can plan the operational information flow path and service deployment simultaneously, thereby achieving the optimal deployment of services even under the constraints of limited communication bandwidth.