提出了一种在WDM网络中基于优先级的多任务波长路由分配算法。算法设计旨在提高光网络资源的利用率、降低网络请求阻塞率。分析了任务请求的路由类型以及负载容量对请求优先级划分的影响方式,给出了网络请求优先级划分策略,结合网络的实时状态提出了一种基于优先级的多任务波长路由分配算法。仿真结果表明,该算法相比现有算法降低了网络请求阻塞率,提高了资源利用率。

An effective algorithm aiming at the multi-objective routing and wavelength assignment through priority in dynamic WDM optical network was proposed. The objective of the design is to maximize the number of accepted com-munication requests subjected to a limited number of wavelength channels. The relation between path type was adopted and the traffic volume was used to determine the priority of the connection requests, and the network state was incorpo-rated into the routing decisions and wavelength assignment. The simulation results conclusively demonstrate that the proposed algorithm can greatly improve the blocking performance and utilization of the optical network resource.

攻击防护是光网络的一个重要问题。文章构建了光网络大功率带间串扰攻击和光放大器增益竞争攻击的传播模型,提出了一种限制物理层攻击影响范围的路由和波长分配算法。在路由分配阶段,该算法把具有较小最大光路攻击范围的路由分配给光路请求,以降低攻击影响范围。仿真结果表明,与常用算法相比,该算法能够有效限制物理层攻击影响范围,提升光网络的安全性。

Attack protection is an important issue for optical networks.In this paper,an attack propagation model for high-pow-er inter-channel crosstalk attacks in optical networks and optical amplifier gain competition attacks is constructed and a Routing and Wavelength Assignment (RWA)algorithm for limiting the scope of the physical layer attack influences proposed.In the routing assignment stage,this algorithm assigns the routing with smaller maximum light-path attack scope to the light-path re-quest so as to reduce the scope of attack influences.Simulation results show that compared with commonly used algorithms, this algorithm can effectively limit the scope of physical layer attack influences and improve the security of optical networks.

动态RWA(路由与波长分配)问题是智能光网络的核心问题,以蚁群算法为代表的启发式算法是解决此类问题的优选方案之一。文章提出一种基于ADACO(自适应蚁群优化)算法的RWA机制,针对信息素挥发系数ρ采取自适应策略,实现了对全局信息素更新态调节。理论分析和数值仿真结果表明,与Dijkstra+FF(首次命中)算法相比,改进的ADACO+FF算法可以有效地降低网络阻塞率,规则型Mesh网络和NSFNET(国家科学基金会网络)的阻塞率最高分别降低了0.3和0.2。

Dynamic Routing and Wavelength Assignment (RWA)is a key issue to Intelligent Optical Networks (ION),and heuristic algorithms represented by the Ant Colony Optimization (ACO)algorithm is one of the most preferred schemes for such issues.This paper proposes an Adaptive Ant Colony Optimization (ADACO)algorithm-based RWA mechanism,which realizes state adj ustment for the global pheromone updating by adopting adaptive strategies.Theoretical analysis and numerical simulation results show that compared with Dijkstra+FF algorithm,the improved ADACO+FF algorithm effectively lowers the network blocking probability and the optimal blocking probability improvement in regular MESH and NSFNET topology scenario is up to 0.3 and 0.2,respectively.

为了优化透明光网络中 IRWA （基于物理损伤模型的路由波长分配）算法性能，通过分析多种物理损伤特点，构建了一种可替代经典模型的简化损伤模型，在此基础上提出一种基于 RSVP-TE （资源预留协议-流量工程）的有向泛洪 IRWA 算法，即KDF-IRWA算法，该算法令源节点通过多条不同的备选路径向目的节点发送PATH （路径）消息包，这些 PATH 消息包各自独立收集所选路径中各个链路的路径信息，并在目的节点汇聚、计算和比较，避免了经典算法中因首次建路失败而引起的重发包，提高了算法的效率。仿真结果表明，该算法能够有效降低算法时间，提高建路成功的概率，降低网络阻塞率。

To optimize the performance of the Routing and Wavelength Assignment (RWA)algorithm based on a physical im-pairment model for optical (transparent)networks,this paper constructs a simplified impairment model by analyzing the fea-tures of multiple physical impairments and proposes a directed flooding RWA algorithm based on Resource Reservation Proto-col-Traffic Engineering (RSVP-TE),i.e.KDF-IRWA algorithm,which allows the source node to send PATH packets to the destination node through multiple candidate paths.These PATH packets independently collect the path information of various links in the selected path,which converge at the destination node and is calculated and compared,thus avoiding packet re-send-ing arising from the failure in path setup for the first time in the classical algorithms and improving the efficiency of the algo-rithm.The simulation results indicate that this algorithm can effectively reduce the time,increase the probability of success in path setup and reduce netw