Research On Multi-QoS Attribute Fusion Mechanism In Mine Internet Of Things

With the rapid development and application of network technology,it is a hot topic in the field of mine safety production.There mine networking technology,mine infrastructure integration into an organic whole,implementation of collaborative management and control effectively,provides a new idea for further research on the coal mine safety production and the new system of early warning and rescue.In the dynamic and complex mining environment,the quality of service(QoS)is an important factor to be considered.Along with the mine network continues to expand,the services are more and more,the goal for the QoS network system,only QoS parameters selection for one dimension,can not guarantee the quality of service.Therefore,the research of mine multi attribute QoS fusion mechanism is the focus of this paper.This paper from the system framework of the macro perspective,with service awareness technology,put forward mine IOT adaptive QoS system structure,lay the foundation for the follow-up work;then the fuzziness in mine IOT environment in network delay,resource load uncertainty and QoS parameters,combined with the method of D-S evidence theory and Vague set on mine QoS networking parameters were measured and evaluated to provide data support for the next business QoS priority dynamic adaptive adjustment;finally,according to simulation results,the proposed method is superior,in order to meet the mine Internet of things terminal business needs QoS.The main research contents are as follows:First of all,this paper puts forward the adaptive QoS prototype network structure of Diffserv,which is based on the differentiated network model.In this paper,the design of the service aware module and the realization process of the service aware technology are described in detail.The network framework designed in this paper can reflect the needs of the mine Internet of things,such as intelligent perception,dynamic perception and so on.It has a very important significance to the business QoS security.Secondly,aiming at the fuzziness of the mine Internet of things in network environment,such as delay resource load uncertainty and QoS parameters,in the perception of the business environment,the use of Vague to describe the uncertain parameters of QoS set based evaluation system,this paper proposes a ER algorithm based on evidence theory(Evidential Reasoning)Vague fusion the method of multi QoS attributes.The method proposed by the users with fuzzy QoS request is mapped to the Vague description of the value evaluation level,then the parameters of the QoS fusion as a utility value by using the ER algorithm,get the utility function of QoS service,on the basis of QoS service priority.At last,this paper proposes a dynamic adaptive adjustment method based on utility function for business QoS.The integrated utility based on the value of the utility function of the business QoS priority to determine and package form cognitive grouping,and the dynamic modification of QoS business interruption priority theory,users in the current state of the network,to obtain the best service quality.The simulation results show that the proposed method can alleviate the congestion of network link to a certain extent,reduce the packet loss rate,and improve the problem of insufficient QoS priority in the network nodes,which can effectively improve the user’s QoS.