Please wait a minute...
Chin. Phys. B, 2024, Vol. 33(3): 030309    DOI: 10.1088/1674-1056/ad2503
GENERAL Prev   Next  

A new quantum key distribution resource allocation and routing optimization scheme

Lin Bi(毕琳)1,2, Xiaotong Yuan(袁晓同)1,2,†, Weijie Wu(吴炜杰)1,2, and Shengxi Lin(林升熙)1,2
1 School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130012, China;
2 Key Laboratory of Network and Information Security in Jilin Province, Changchun 130012, China
Abstract  Quantum key distribution (QKD) is a technology that can resist the threat of quantum computers to existing conventional cryptographic protocols. However, due to the stringent requirements of the quantum key generation environment, the generated quantum keys are considered valuable, and the slow key generation rate conflicts with the high-speed data transmission in traditional optical networks. In this paper, for the QKD network with a trusted relay, which is mainly based on point-to-point quantum keys and has complex changes in network resources, we aim to allocate resources reasonably for data packet distribution. Firstly, we formulate a linear programming constraint model for the key resource allocation (KRA) problem based on the time-slot scheduling. Secondly, we propose a new scheduling scheme based on the graded key security requirements (GKSR) and a new micro-log key storage algorithm for effective storage and management of key resources. Finally, we propose a key resource consumption (KRC) routing optimization algorithm to properly allocate time slots, routes, and key resources. Simulation results show that the proposed scheme significantly improves the key distribution success rate and key resource utilization rate, among others.
Keywords:  quantum key distribution (QKD)      resource allocation      key storage      routing algorithm  
Received:  12 October 2023      Revised:  24 January 2024      Accepted manuscript online:  02 February 2024
PACS:  03.67.Dd (Quantum cryptography and communication security)  
  03.67.Hk (Quantum communication)  
  42.82.Ds (Interconnects, including holographic interconnects)  
  64.60.aq (Networks)  
Fund: Project supported by the Natural Science Foundation of Jilin Province of China (Grant No. 20210101417JC).
Corresponding Authors:  Xiaotong Yuan     E-mail:  yxt8090@163.com

Cite this article: 

Lin Bi(毕琳), Xiaotong Yuan(袁晓同), Weijie Wu(吴炜杰), and Shengxi Lin(林升熙) A new quantum key distribution resource allocation and routing optimization scheme 2024 Chin. Phys. B 33 030309

[1] Bonnetain X, Naya-Plasencia M and Schrottenloher A 2019 IACR Trans. Symmetric Cryptol. 2019 55
[2] Monz T, Nigg D, Martinez E A, Brandl M F, Schindler P, Rines R, Wang S X, Chuang I L and Blatt R 2016 Science 351 1068
[3] Zhang Q, Xu F, Chen Y A, Peng C Z and Pan J W 2018 Opt. Express 26 24260
[4] Wang H, Zhao Y, Li Y, Yu X, Zhang J, Liu C and Shao Q 2018 Opt. Fiber Technol. 45 195
[5] Boaron A, Boso G, Rusca D, Vulliez C, Autebert C, Caloz M, Perrenoud M, Gras G, Bussiéres F, Li M J, Nolan D, Martin A and Zbinden H 2018 Phys. Rev. Lett. 121 190502
[6] Bennett C H and Brassard G 2014 Theor. Comput. Sci. 560 7
[7] Dynes J F, Tam W W S, Plews A, Fröhlich B, Sharpe A W, Lucamarini M, Yuan Z, Radig C, Straw A, Edwards T and Shields A J 2016 Sci. Rep. 6 35149
[8] Wang C, Kon W Y, Ng H J and Lim C C 2022 Light Sci. Appl. 11 268
[9] Luo W, Cao L, Shi Y, Wan L, Zhang H, Li S, Chen G, Li Y, Li S, Wang Y, Sun S, Karim M F, Cai H, Kwek L C and Liu A Q 2023 Light Sci. Appl. 12 175
[10] Wang S 2022 Light Sci. Appl. 11 301
[11] Diamanti E, Lo H K, Qi B and Yuan Z 2016 NPJ Quantum Inf. 2 16025
[12] Cao Y, Zhao Y, Wu Y, Yu X and Zhang J 2018 J. Light. Technol. 36 3382
[13] Cao Y, Zhao Y, Wang J, Yu X, Ma Z and Zhang J 2019 IEEE Commun. Mag. 57 152
[14] Cao Y, Zhao Y, Wang J, Yu X, Ma Z and Zhang J 2019 Opt. Express 27 6892
[15] Mehic M, Niemiec M, Rass S, Ma J, Peev M, Aguado A, Martin V, Schauer S, Poppe A and Pacher C 2020 ACM Comput. Surv. (CSUR) 53 1
[16] Cao Y, Zhao Y, Yu X and Wu Y 2017 J. Opt. Commun. Netw. 9 995
[17] Zhao Y, Cao Y, Wang W, Wang H, Yu X, Zhang J, Tornatore M, Wu Y and Mukherjee B 2018 IEEE Commun. Mag. 56 130
[18] Cao Y, Zhao Y, Colman M C, Yu X and Zhang J 2017 Opt. Express 25 26453
[19] Tsai C W, Yang C W, Lin J, Chang Y C and Chang R S 2021 Appl. Sci. 11 3767
[20] Ding H J, Liu J Y, Zhang C M and Wang Q 2020 Quantum Inf. Process. 19 60
[21] Liu J Y, Ding H J, Zhang C M, Xie S P and Wang Q 2019 Phys. Rev. Appl. 12 014059
[22] Ma W, Liu L, Chen B, Gao M, Chen H and Wu J 2020 2020 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC), October 24-27, 2020, Beijing, China, p. 1
[23] Chen L Q, Zhao M N, Yu K L, Tu T Y, Zhao Y L and Wang Y C 2021 Quantum Inf. Process. 20 309
[24] Yu X, Liu Y, Zou X, Cao Y, Zhao Y, Nag A and Zhang J 2022 J. Light. Technol. 40 3530
[25] Chen L, Zhang Z, Zhao M, Yu K and Liu S 2022 Entropy 24 1519
[26] Chen L, Chen Q, Zhao M, Chen J, Liu S and Zhao Y 2022 Entropy 24 149
[27] Sharma P, Bhatia V and Prakash S 2022 Opt. Fiber Technol. 68 102755
[28] Zhang Q, Liu Y, Yu X, Zhao Y and Zhang J 2022 Photonics 9 239
[29] Sharma P, Bhatia V and Prakash S 2020 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), December 14-17, 2020, New Delhi, India, p. 1
[30] Zhang K, Yu X, Wang Y, Li Y, Zhao Y and Zhang J 2021 2021 19th International Conference on Optical Communications and Networks (ICOCN), August 23-27, 2021, Qufu, China, p. 1
[31] Gisin N and Thew R 2007 Nat. Photonics 1 165
[32] Andersen U L, Neergaard N J S, van Loock P and Furusawa A 2015 Nat. Phys. 11 713
[33] Amin I, Mishra D, Saini R and Aissa S 2022 IEEE Commun. Lett. 26 31
[34] Sharma P, Agrawal A, Bhatia V, Prakash S and Mishra A K 2021 IEEE Open J. Commun. Soc. 2 2049
[35] Guerrini S, Chiani M and Conti A 2018 2018 IEEE Globecom Work shops (GC Wkshps), December 9-13, 2018, Abu Dhabi, United Arab Emirates, p. 1
[36] Panhwar M A, Khuhro S A, Mazhar T, Deng Z L and Qadir N 2021 Comput. Sci. 16 9
[37] Peev M, Pacher C, Alléaume R, Barreiro C, Bouda J, Boxleitner W, Debuisschert T, Diamanti E, Dianati M and Dynes J 2009 New J. Phys. 11 075001
[38] Cao Y, Zhao Y, Li J, Lin R, Zhang J and Chen J 2021 IEEE J. Sel. Areas Commun. 39 2701
[39] Zhang C, Jing R, Li J, Ma Y, Huo X, Zhao Y and Zhang J 2015 J. Opt. Commun. Netw. 7 1057
[40] McKeown N, Anderson T, Balakrishnan H, Parulkar G, Peterson L, Rexford J, Shenker S and Turner J 2008 Comput. Commun. Rev. 38 69
[41] Schönwälder J, Björklund M and Shafer P 2010 IEEE Commun. Mag. 48 166
[42] Aguado A, Lopez V, Martinez M J, Peev M, Lopez D and Martin V 2018 J. Opt. Commun. Netw. 10 421
[43] Mehic M, Fazio P, Rass S, Maurhart O, Peev M, Poppe A, Rozhon J, Niemiec M and Voznak M 2020 IEEE ACM Trans. Netw. 28 168
[44] Bi L, Miao M and Di X 2023 Appl. Sci. 13 8690
[45] Li M, Quan D and Zhu C 2016 2016 8 th International Conference on Wireless Communications & Signal Processing (WCSP), October 13-15, 2016, Yangzhou, China, p. 1
[46] Mehic M, Rass S, Fazio P and Voznak M 2022 Quantum Key Distribution Networks: A Quality of Service Perspective (Switzerland: Springer) pp. 109-133
[1] Research progress in quantum key distribution
Chun-Xue Zhang(张春雪), Dan Wu(吴丹), Peng-Wei Cui(崔鹏伟), Jun-Chi Ma(马俊驰),Yue Wang(王玥), and Jun-Ming An(安俊明). Chin. Phys. B, 2023, 32(12): 124207.
[2] Realization of simultaneous balanced multi-outputs for multi-protocols QKD decoding based onsilica-based planar lightwave circuit
Jin You(游金), Yue Wang(王玥), and Jun-Ming An(安俊明). Chin. Phys. B, 2021, 30(8): 080302.
[3] Modeling for heterogeneous multi-stage information propagation networks and maximizing information
Ren-Jie Mei(梅人杰), Li Ding(丁李), Xu-Ming An(安栩明), Ping Hu(胡萍). Chin. Phys. B, 2019, 28(2): 028701.
[4] Proof-of-principle experimental demonstration of quantum secure imaging based on quantum key distribution
Yi-Bo Zhao(赵义博), Wan-Li Zhang(张万里), Dong Wang(王东), Xiao-Tian Song(宋萧天), Liang-Jiang Zhou(周良将), Chi-Biao Ding(丁赤飚). Chin. Phys. B, 2019, 28(10): 104203.
[5] Traffic resource allocation for complex networks
Ling Xiang (凌翔), Hu Mao-Bin (胡茂彬), Long Jian-Cheng (龙建成), Ding Jian-Xun (丁建勋), Shi Qin (石琴). Chin. Phys. B, 2013, 22(1): 018904.
[6] Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm
Zu Yun-Xiao(俎云霄) and Zhou Jie(周杰) . Chin. Phys. B, 2012, 21(1): 019501.
[7] Link prediction based on a semi-local similarity index
Bai Meng(白萌), Hu Ke(胡柯), and Tang Yi(唐翌) . Chin. Phys. B, 2011, 20(12): 128902.
[8] Cognitive radio resource allocation based on coupled chaotic genetic algorithm
Zu Yun-Xiao(俎云霄),Zhou Jie(周杰), and Zeng Chang-Chang(曾昶畅). Chin. Phys. B, 2010, 19(11): 119501.
No Suggested Reading articles found!