摘要
为适应恶劣环境下数据采集的需要,将高抗毁性和强机动性的自组织网络与传输距离远、发射功耗低的Lora技术结合,再加上集中控制的思想,提出一种基于软件定义的LoRa自组织网络。对网络进行数控分离,数据层采集和传输PM2.5、温湿度等标量数据,控制层进行拓扑发现、流表生成和下发。考虑到网络中拓扑结构的复杂性和动态性,设计一种基于链路质量的拓扑发现算法和基于负载均衡的流表生成与下发算法,并从时延和丢包率两个方面对网络性能进行测试分析,测试结果表明算法可以准确地把握网络拓扑的动态变化并通过集中管控提高网络的整体性能。
In order to meet the needs of data collection in severe environment,the self-organizing network with high resistance and strong mobility is combined with Lora technology,which has long transmission distance and low emission power,and the idea of centralized control in the software de ned network,we propose a LoRa self-organizing network architecture based on SDN.The architecture adopts the idea of numerical control separation,that is,separating the network data layer from the control layer.The data layer carries out the collection,transmission and processing of the scalar data such as PM2.5,temperature,humidity and so on.The control layer makes topology discovery,ow table generation and transmission through the control nodes.Considering the topology complexity and dynamics of the wireless multi-hop self-organizing network,we design a network topology discovery algorithm based on link quality and a ow table generation and transmission algorithm based on load balancing,then the network performance is tested and analyzed from two aspects of time delay and packet loss rate.The test results show that the algorithm can accurately grasp the dynamic changes of the network topology and improve the routing success rate as well as the overall performance of the network through centralized control.
作者
孙严智
胡劲松
刘宇明
Sun Yanzhi;Hu Jinsong;Liu Yuming(Yunnan Electric Power Dispatch and Control Center,kunming 650011,China)
出处
《云南电力技术》
2019年第6期93-98,117,共7页
Yunnan Electric Power
关键词
自组织网络
LoRa
集中控制
数控分离
拓扑发现
流表生成和下发
self-organizing network
Lora
centralized control
numerical control separation
topology discovery
flow table generation and transmission
