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Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (6): 1364-1374.doi: 10.23919/JSEE.2021.000116

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  • 收稿日期:2020-05-21 出版日期:2022-01-05 发布日期:2022-01-05

A highly reliable embedding algorithm for airborne tactical network virtualization

Jingcheng MIAO1(), Na LYU1,*(), Kefan CHEN2(), Zhuo CHEN1(), Weiting GAO1()   

  1. 1 College of Information and Navigation, Air Force Engineering University, Xi’an 710077, China
    2 Unit 94860 of the PLA, Nanjing 210000, China
  • Received:2020-05-21 Online:2022-01-05 Published:2022-01-05
  • Contact: Na LYU E-mail:zhongdcz@163.com;lvnn2007@163.com;1148180199@qq.com;408258313@qq.com;519105941@qq.com
  • About author:|MIAO Jingcheng was born in 1995. He received his B.S. and M.S. degrees from Engineering University of PAP in 2016 and 2018, respectively. He is currently pursuing his Ph.D. degree in Air Force Engineering University. His research interests include airborne tactial networks, network virtualization, and virtual network embedding. E-mail: zhongdcz@163.com||LYU Na was born in 1970. She received her B.S., M.S., and Ph.D. degrees from Northwestern Polytechnical University in 1992, 1995, and 2010, respectively. She is currently a full professor in Air Force Engineering University. Her research interests include aviation data link systems, military air communications, and software-defined networking. E-mail: lvnn2007@163.com||CHEN Kefan was born in 1990. He received his B.S. degree from the University of Electronic Science and Technology of China in 2013, and M.S. and Ph.D. degrees from Air Force Engineering University, Xi’an, China, in 2016 and 2019, respectively. He is currently an engineer of Unit 94860 of the PLA. His research interests include airborne tactical networks, software-defined networking, and aviation data link systems. E-mail: 1148180199@qq.com||CHEN Zhuo was born in 1996. He received his B.S. degree from Yunnan University. He is currently persuing his M.S. degree in Air Force Engineering University, Xi’an, China. His research interests include airborne networks, anomaly detection, and machine learning. E-mail: 408258313@qq.com||GAO Weiting was born in 1984. He received his B.S., M.S., and Ph.D. degrees from Northwestern Polytechnical University in 2007, 2011, and 2015, respectively. He is currently a lecturer in Air Force Engineering University. His research interests include airborne networks and communication system design. E-mail: 519105941@qq.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61701521) and the Shaanxi Provincial Natural Science Foundation (2018JQ6074)

Abstract:

The evolution of airborne tactical networks (ATNs) is impeded by the network ossification problem. As a solution, network virtualization (NV) can provide a flexible and scalable architecture where virtual network embedding (VNE) is a key part. However, existing VNE algorithms cannot be optimally adopted in the virtualization of ATN due to the complex interference in air-combat field. In this context, a highly reliable VNE algorithm based on the transmission rate for ATN virtualization (TR-ATVNE) is proposed to adapt well to the specific electromagnetic environment of ATN. Our algorithm coordinates node and link mapping. In the node mapping, transmission-rate resource is firstly defined to effectively evaluate the ranking value of substrate nodes under the interference of both environmental noises and enemy attacks. Meanwhile, a feasible splitting rule is proposed for path splitting in the link mapping, considering the interference between wireless links. Simulation results reveal that our algorithm is able to improve the acceptance ratio of virtual network requests while maintaining a high revenue-to-cost ratio under the complex electromagnetic interference.

Key words: airborne tactical network (ATN), network virtualization (NV), resource allocation, virtual network embedding (VNE), transmission rate