摘要
光无线混合网络的生存性保障程度与部署成本之间存在矛盾。为提高网络资源利用率,该文提出一种低成本的无线功能部署策略。根据网络中无线功能部署情况,综合考虑网络生存性保障程度及部署成本两方面因素,在此基础上,提出基于向量评价的二进制粒子群算法实现其优化过程,进而,由进化得到的种群粒子不断调整光网络单元选取,以较低的成本实现较强生存性的网络部署。结果表明所提出的无线功能部署策略能有效提高网络的生存性,并大幅度的降低网络成本。
There is a contradiction between the degree of survivability and the cost of deployment in Hybrid Optical-Wireless Broadband Access Networks(HOWBAN). To improve the network resources utilization, a lowcost Optical Network Unit(ONU) deployment strategy is proposed. According to the deployment of wireless functions in the network, the degree of network survivability and the deployment are considered in the optimization process of vector evaluated binary particle swarm optimization. Furthermore, to deploy the network with low cost while at the same time guaranteeing a high degree of survivability, the selecting of optical-network-units can be decided dynamically by the evolution of particle. The results show that low-cost ONU deployment strategy can effectively improve the network survivability, and reduce network cost.
出处
《电子与信息学报》
EI
CSCD
北大核心
2016年第6期1354-1361,共8页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61371097)
重庆市自然科学重点基金(CSTC2013JJB40006)
重庆市青年科技人才培养计划(CSTC 2014KJRC-QNRC40001)~~
关键词
光无线混合网
生存性
低成本
粒子群算法
Hybrid Optical-Wireless Broadband Access Networks(HOWBAN)
Survivability
Low-cost
Particle swarm algorithm