Wavelength routing algorithm with matching degree awareness based on DQN in satellite optical networks
In order to further reduce the traffic blocking rate of satellite optical networks,this paper proposes a wavelength routing algorithm based on deep Q-networks(DQN)and matching perception.This algorithm first designs a path wavelength matching factor to reflect the common free wavelengths between the current path and the link of the next hop node.Subsequently,the algo-rithm takes into account multiple factors such as path wavelength matching,adjacent link delay,and the shortest number of hops from the next hop node to the destination node,and constructs a reward function based on these factors.When allocating wave-lengths,in order to have more free wavelengths on adjacent links for subsequent service requests,this paper designs an adjacent link wavelength matching index to describe the alignment of free wavelengths between the path and its adjacent links.The simu-lation results show that this algorithm can reduce network blocking rate and delay,and improve wavelength utilization.
satellite optical networksrouting and wavelength assignmentdeep reinforcement learningwavelength matching degree
国家科技期刊平台
NSTL
万方数据
维普
