摘要
研究网络通信能耗优化问题,由于网络流量大,节点能量不均衡。为了能够有效地降低能量消耗,提出了一种混合智能算法的无线Mesh网络模型。模型首先给出了通信流自相似的基本概念和相应的数学模型;其次结合蚁群算法可以获得最短路径的优点以及遗传算法可以使簇内节点能量均衡的优点进行无线Mesh网络的性能优化仿真,并且给出了算法流程;最后对无线Mesh网络模型的通信流特性进行了仿真分析。仿真结果表明,利用混合智能算法能够更好地描网络通信流特性,有效的降低网络的能量消耗,延长网络的寿命。
In order to describe the traffic characterization of wireless Mesh network and reduce the cost of energy,a hybrid intelligence algorithm of wireless Mesh network model was studied.In this model,first,the basic conception and corresponding self-similarity mathematical model of traffic flow were constructed; and then the advantage of ant algorithm was combined to carry out the performance optimization simulation for the wireless Mesh network.then the advantage of genetic algorithm that make the energy of joints balance and the algorithm procedure were given.Finally,a wireless Mesh network was used as an example to carry out the simulation analysis of traffic characterization.The simulation results show that the mixed ant and genetic algorithm can not only describe the traffic characterization of wireless Mesh network,but also reduce the cost of energy,and improve the using life of network.
出处
《计算机仿真》
CSCD
北大核心
2013年第8期270-273,共4页
Computer Simulation
关键词
蚁群算法
遗传算法
网络
通信流
Ant algorithm
Genetic algorithm
Network
Traffic flow
