Technology Of Search In The Internet Of Things Based On Location

With the development of embedded technology and wireless network technology,the concept of Internet of things is no longer out of reach;it is another information industry revolution after computer,Internet and mobile communication network.The so-called Internet of Things refers to the networks where the object access to the network for information exchange and communication based on traditional Internet.Vehicular Cyber System is a specific application of Internet of Things,Internet of Things contacts the virtual world and the physical world closely,and Vehicular Cyber System is actually a bridge between the vehicle and t urban traffic network,as urban traffic congestion and safety is more and more serious,Vehicular Cyber System has became the focus of national and academic research.In the Internet of Things,we often need to deal with billions of physical entities,so we need a mechanism to find the physical entities that match the search criteria quickly and accurately.Search service in the Internet of Things is the service that provides such a mechanism.Compared with traditional search service,the object of the search service is not limited to Web documents,it is more concerned about the physical entities of the physical world,which also brought things search a great challenge because the dynamic properties of physical entities frequently changed,which led to the failure of traditional indexing techniques,because the index of the dynamic properties may be outdated after they are established,and thus we are unable to retrieve its dynamic attributes.So how to achieve real-time search for the dynamic properties of the physical entity is the core issues that must be addressed.Location attribute of physical entity is the most important dynamic properties of objects and it is particularly important for Vehicular Cyber System.This paper describes search technology for the Internet of Things based on vehicle's location attribute.In order to realize fast and accurate search for physical entities that meet the search criteria,we use a search strategy is to predict the law of the pre-dynamic properties,and then through the law of the dynamic properties we can predict the current property values,so the range to search can be reduced to a very small extent with reducing the communication overhead and energy overhead purposes.To describe the variation of the location,we proposed for the asynchronous periodic sequence pattern model.In this paper,we design and realize a system for the mining location attribute variation of the vehicle,the system including location attribute record module based on android,vehicle trajectory data pre-processing module,communication module,and asynchronously periodic sequence pattern mining module in the background server.Position location attribute recording module is for recording vehicle;vehicle trajectory data preprocessing module is used to preprocess track data,including de-noising,stay-point mining,key areas mining;asynchronous periodic sequence pattern mining module is used to process the results of vehicle trajectory data preprocessing module for mining asynchronous periodic sequence pattern.Finally,this paper presents experimental analysis to prove the validity and reliability of the system.