Research On WoT Search Engine Technology Based On Data Dynamic Prediction

In recent years,with the large-scale deployment of mass sensors,intelligent terminals and network communication equipment,a global Internet of Things(IoT)composed of terminal equipment network is gradually forming.At present,one obstacle about the development of the IoT is providing users with search service based on sensors' information,to help users get and take advantage of the required information.The entities of the Internet of things have the characteristics of heterogeneity,dynamic,mass and resource limitation,and the search for IoT entities must be real-time,accurate and effective,but the traditional search engine scheme "crawling web page-indexing-searching-matching-result feedback" does not meet the real-time requirements of the Internet of things search.Therefore,it is necessary to propose a search system architecture to search the information about the IoT entities.Considering the maturity of Web technology and its excellence and universality,it has become the mainstream choice for the IoT search service.In this paper,based on that,carrying on research on the IoT entities search engine based on Web.And a Web of Things(WoT)search technology architecture based on data dynamic prediction is presented,in which the dynamic prediction algorithm is applied to the real-time searching for the IoT entities information to solving the contradiction between real-time and accuracy.At the same time,the Internet of things search platform has been implemented,and by actual measurement,the effectiveness of the proposed method is proved.The research contents and main achievements of this paper are as follows:(1)This paper conducted research on the hierarchical structure about the network and equipment in the IoT,and combined with the traditional architectural features of Internet search platform,and put forward the four-layer distributed search system architecture making use of Web technology.The system architecture had good robustness and scalability.(2)Aiming at the characteristics of the dynamic changing of the entities' state in the IoT,this paper proposed prediction mechanism to predict the current state of the entities based on the historical information,which enabled users to search for the entity nodes that matched search criteria at the moment,and could satisfy the demands of real-time search.(3)Aiming at massive amounts of the entity nodes in the IoT and the data collected by sensors,this paper proposed data compression mechanism to compress the data collected by sensors,and to reduce data transmission,energy consumption,and network congestion.(4)In this paper,based on the existing open source search engine,a WoT search system based on the prediction of dynamic data was designed and implemented,and the entire search process was completed.After tested,the system could solve the shortcoming that the nodes were resource-constrained in the traditional search system.