网络空间通信节能优化管理算法研究仿真

摘要

An energy-saving optimization management algorithm of network space communication is proposed based on the modified quantum.Firstly,the information entropy in the migration condition set of network state space is collected,and the migration space sequence of network state migration is searched to build the observation matrix of network state transition.Then,the optimal limit degree of state space migration is obtained integrated with the particle swarm method,and the minimum reduction of state space migration is given out to complete the energy-saving optimization management of network space communication.Finally,the reduction fitness function of network state space is worked out,and the reduction to network state space is completed.The simulation results show that the method mentioned above has high global optimization performance.It can achieve the energy-saving optimization management purpose of network space communication.%对网络空间通信进行节能优化管理,可以降低网络运行所需的能耗,达到节能的目的.进行网络空间通信节能管理时,应组建网络状态迁移空间观测矩阵,求出状态空间迁移最优限制度,对状态空间进行约简达到节能目的,但是传统方法通过获取网络空间迁移过程的初始约简集,按照空间到达路径的重要性消除无用通信信息完成节能,但是无法利用空间观测矩阵获取状态空间迁移最小约简,节能管理效果差.提出基于改进量子的网络空间通信节能优化管理算法.上述算法先采集网络状态空间迁移条件集的信息熵,搜索网络状态迁移空间序列,组建网络状态迁移空间观测矩阵,结合粒子群方法求出状态空间迁移最优限制度,给出状态空间迁移最小约简,完成了网络空间通信节能优化管理,计算出网络状态空间约简适应度函数,并完成了对网络状态空间约简.仿真结果表明,上述方法不仅具有较高的全局优化性能,可以达到网络空间通信节能优化管理的目的.