A highly reliable embedding algorithm for airborne tactical network virtualization

doi:10.23919/JSEE.2021.000116

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

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 LYU^1,*(), Kefan CHEN²(), Zhuo CHEN¹(), Weiting GAO¹()

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)

摘要/Abstract

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

. [J]. Journal of Systems Engineering and Electronics, 2021, 32(6): 1364-1374.

Jingcheng MIAO, Na LYU, Kefan CHEN, Zhuo CHEN, Weiting GAO. A highly reliable embedding algorithm for airborne tactical network virtualization[J]. Journal of Systems Engineering and Electronics, 2021, 32(6): 1364-1374.

图/表 13

参考文献 26

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Description	Mathematical representation
Basic power, available power	$ {p_b}\left( {{n^S}} \right) $ , $ p\left( {{n^S}} \right) $
Node location attribute	${\rm{loc}}\left( { {n^S} } \right)$
Link bandwidth attribute	$ b\left( {{l^S}} \right) $
Link location attribute	${\rm{loc}}\left( { {l^S} } \right)$
All substrate paths set	$ {P^S} $

Description	Mathematical representation
Location	${\rm{loc}}\left( { {n^V} } \right)$
Coverage radius of $ {n^V} $	$ {\varphi ^V} $
Transmission rate	$ R\left( {{l^V}} \right) $

Description	ATSN	ATVN
Number of nodes	50	An integer, uniform distributed [3,5]
Number of links	139	Link connection probability equal to 0.5
Node power	An integer, uniform distributed [5,10]	－
Link bandwidth	An integer, uniform distributed [2,5]	－
Transmission rate	－	An integer, uniform distributed [3,8]
VN arrival rate	－	A Poisson process with an average arrival rate of 5 per 100 time units
Duration time	－	100 time units
Total run time	10 000 time units (100 time windows)

Algorithm	Description
TR-ATVNE	Node mapping evaluates the ranking value by transmission-rate resource while link mapping adopts a feasible minimum-cost path splitting rule.
JBP-WVNE[19]	Node mapping evaluates the embedding value by expanded resources while link mapping uses path splitting while allocating power and bandwidth resources.
B-VNE[26]	Node mapping evaluates the embedding value only by power resource while link mapping finds a single path by the shortest path algorithm.

A highly reliable embedding algorithm for airborne tactical network virtualization

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