A simulated fish swarm stochastic routing scheme for partially-trusted relay quantum key distribution network

In process of deploying large-scale quantum key distribution(QKD) networks, in order to solve the problems of service congestion, key waste and uneven resource allocation in key relay, inspired by the behaviour of fish-like intelligent clusters in nature, this paper proposes a simulated fish stochastic routing scheme suitable for partially-trusted relay QKD network scenarios. Firstly, the routing process of key distribution is regarded as the optimization behavior of fish swarm, and the simulated behavior model of fish swarm under the key transmission mechanism is constructed. Secondly, the distance factor and routing cost are incorporated to the food concentration of the node as a routing evaluation index, this paper establishes the ILP routing model based on the maximum food concentration and the fish-sense routing model. Finally, in order to deploy the network resources, a stochastic routing algorithm based on perceived fish swarm for QKD network is designed. Simulation results show that this scheme can effectively improve the quantum key distribution success rate, and the average key consumption of the optical path is less. When attackers adopt the equal probability attack strategy, the overall security probability of the scheme is improved by 8% and 2% compared to the Random and RIP-SRA algorithms. In terms of link load uniformity, the labeled diffusion behavior can effectively balance the key on QKD network. The standard deviation of the average key residual is 270.2673, and the key consumption tends to be levelled off.