Research On QoE-Oriented Dynamic Aggregation Method For Iot Service

With the rapid development of wireless network and the wide application of sensor technology,the Internet of things(IoT)technology has entered into every aspect of our work and life.With the explosive growth of the number of IoT services,how to integrate all kinds of information,content,applications and filter services,aggregate services according to user needs has become a key issue for the application of the IoT.The existing aggregation methods of Internet of things are lack of standardization and unity,and the binding of service aggregation and specific service makes it difficult to adapt to the fast-changing network.To this end,after in-depth analysis of existing service aggregation methods,the following studies are carried out in this paper:Firstly,the classification of service classes is studied based on ontology technology.A service class aggregation method based on aggregation knowledge chain and semantic ontology was proposed by constructing ontology conceptual model and service chain aggregation knowledge map and combining the improved similarity calculation method.Comparing the proposed algorithm with the non-semantic service aggregation method(NSAM),the recall and precision are improved.Compared with the non-aggregation method based on semantics(SNAM),the service cost is obviously reduced.The experimental results show that the proposed algorithm is feasible and effective in solving the problem of service aggregation.Secondly,the bionics service selection method based on swarm intelligence is studied.First,a general scalable QoE quantization model is constructed based on a large number of analyses for IoT services and QoE evaluation methods.Secondly,the dynamic service selection algorithm based on artificial fish swarm(ASFA-SS)and the dynamic service selection algorithm based on ant colony optimization(ACO-SS)are proposed,and they are compared with genetic algorithm(GA-SS)in the same scenario by experiment.It can be proved that both methods have the feasibility and effectiveness for solving the problem of service selecting.Finally,the IoT service aggregation system is designed and implemented using the service aggregation method proposed in this paper.The system realizes the aggregation of service classes and the selection of specific services,which is practical and expandable.Therefore,this paper provides a feasible algorithm for IoT service aggregation,promotes the development of IoT service aggregation technology,so as to achieve certain application values.