摘要
传统光学传输网络邻居节点发现方法存在节点识别耗时长、准确率低等不足。提出一种基于物联网的光学传输网络邻居节点快速发现方法研究,首先利用物联网的联通性构建一种扇形节点感知模型,判定当前节点感知区域范围内存在邻居节点的可能性;采用最小二乘法原理对感知区域内存在的邻居节点进行模糊定位,对现有节点周围的未知邻居节点设定适当的约束条件,将节点定位问题转化为约束优化问题,最后利用粒子群算法实现光学传输网络邻居节点的寻优和定位。实验证明提出的方法能够快速地发现邻居节点、识别率高、误差率低。
Traditional optical transmission network neighbor node exist the problem of the time consuming, low accuracy and so on. Put forward a method of rapid discovery of a IOT based optical transmission network neighbor node, the first node perception model to construct a fan-shaped connectivity network, the possibility to determine the current node sensing area within the scope of existing neighbor nodes; the principle of neighbor nodes within the sensing area of fuzzy positioning by using the least square method, constraint set the condition of unknown neighbor nodes, the node localization problem is transformed into a constrained optimization problem, and finally realize the optical transmission network neighbor node optimization and localization using particle swarm optimization algorithm. The experimental results show that the proposed method can quickly find the neighbor nodes, high recognition rate and low error rate.
出处
《激光杂志》
北大核心
2017年第1期88-91,共4页
Laser Journal
基金
宿迁学院科研基金项目(2013KY13)
宿迁市科技计划项目(Z201445
Z201448
S201410)
关键词
物联网
邻居节点
快速发现
internet of things
neighbor node
quick discovery
