Research On 6LoWPAN Network Schedueling Method For Industrial Internet Of Things

China is the country with the largest industrial output value in the world,and industry is very important in our national economy.According to the latest statistics that can be grasped at present,China's GDP in 2018 is 90030.9 billion yuan,of which the added value of the secondary industry is 36,600.1 billion yuan,accounting for 40.65%.With the continuous improvement of the level of industrial automation in China,the demand for industrial intelligent production in the industrial field is increasing.Combining IoT technology with industrial production and applying IoT technology to actual industrial production has become a hot topic in industry and academia.For this reason,the concept of industrial Internet of Things has gradually become known.Through the application of industrial Internet of Things,combining advanced IoT technology with traditional industries can significantly improve industrial manufacturing efficiency,reduce production costs and energy consumption,and at the same time reduce pollution emissions and ultimately achieve industrial intelligent production.The Industrial Internet of Things has been widely used in more and more applications,and its application form has been continuously expanded.In the application process of industrial Internet of Things,many new problems and challenges have emerged.Complex electromagnetic environments are widely present in industrial environments,and the reliability of conventional wireless sensor networks in this environment is difficult to guarantee.On the other hand,the related applications of the industrial Internet of Things also put forward higher requirements for the performance of the network delay.Based on the application of 6LoWPAN network for industrial materials,this paper analyzes the related problems existing in the application of industrial IoT,and conducts related network scheduling methods research.Based on the scheduling of channel resources and the joint scheduling of time slots and channel resources,the related network scheduling methods are studied as follows:(1)Research on adaptive channel selection algorithm for industrial object association.This part designs an adaptive channel selection algorithm based on TSCH to optimize network reliability in the presence of strong interference in industrial IoT environment.(2)According to the specific application scenarios of industrial production security monitoring,the related network scheduling problem of wireless sensor networks is studied.This paper analyzes the actual application requirements and key network performance requirements under the application scenario of industrial IOT security monitoring system,and studies the related network scheduling algorithms to meet the design requirements based on the existing scheduling framework of Contiki operating system.(3)Based on the relevant research design,this paper arranges relevant experiments to verify the specific effects of network scheduling designed in this paper and analyze the causes of related phenomena.The experimental results show that the adaptive channel selection algorithm can maintain the node's packet reception rate above 95% under strong interference.In the industrial production security monitoring application,the network scheduling method designed in this paper can meet the performance requirements of the network,especially under high load conditions,the network performance is more obvious.