Zhao Tao, Fan Xiaodong, Dong Bowen, Niu Quanhao, Guo Banghong
Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, South China Normal University, Guangzhou 510006, China.
Entropy (Basel). 2023 Apr 28;25(5):732. doi: 10.3390/e25050732.
Quantum key distribution (QKD) has great potential in ensuring data security. Deploying QKD-related devices in existing optical fiber networks is a cost-effective way to practically implement QKD. However, QKD optical networks (QKDON) have a low quantum key generation rate and limited wavelength channels for data transmission. The simultaneous arrival of multiple QKD services may also lead to wavelength conflicts in QKDON. Therefore, we propose a resource-adaptive routing scheme (RAWC) with wavelength conflicts to achieve load balancing and efficient utilization of network resources. Focusing on the impact of link load and resource competition, this scheme dynamically adjusts the link weights and introduces the wavelength conflict degree. Simulation results indicate that the RAWC algorithm is an effective approach to solving the wavelength conflict problem. Compared with the benchmark algorithms, the RAWC algorithm can improve service request success rate (SR) by up to 30%.
量子密钥分发（QKD）在确保数据安全方面具有巨大潜力。在现有光纤网络中部署与QKD相关的设备是切实实现QKD的一种经济高效的方式。然而，QKD光网络（QKDON）的量子密钥生成率较低，且用于数据传输的波长信道有限。多个QKD服务的同时到达也可能导致QKDON中的波长冲突。因此，我们提出一种具有波长冲突的资源自适应路由方案（RAWC），以实现负载均衡和网络资源的高效利用。该方案聚焦于链路负载和资源竞争的影响，动态调整链路权重并引入波长冲突度。仿真结果表明，RAWC算法是解决波长冲突问题的有效方法。与基准算法相比，RAWC算法可将服务请求成功率（SR）提高多达30%。
