Research And Application On Searching Entity Based On WEB In Internet Of Things

The Web of Things(WoT)is an extension of the existing Internet architecture and solves the interconnection between the physical and Internet world.With the developing of web standards and IoT infrastructures,various practical applications of the Internet of Things are constantly increasing,so that more and more physical entities are open on the Internet.Therefore,how to search from wide variety of physical entities has gradually become a big challenge for IoT applications.Correspondingly,services related to physical entity search are also getting more and more attention.This thesis mainly studies on the three aspects:(1)Based on researching and analyzing the inconsistency of the physical entity description model in the existing Internet of Things,a general physical entity description model-WoTDM is proposed,and a general API interface for operating and accessing physical entities is designed.It solves the problem of inconsistency in the Internet of Things description model,reduces the difficulty of searching for physical entities in the Internet of Things,and is more applicable to the development of Internet of Things applications.(2)By comparing the similarities and differences between Internet search and IoT entity search,combined with standard web search technology,this thesis designs and implements a clustering method for IoT entities.The method reduces the impact of the dynamics of Internet of Things entity on the Internet of Things entity search,and effectively improves the search efficiency of the Internet of Things entity.(3)Based on WoTDM,using clustering to divide physical entity search method,this thesis implements an experimental search system for searching physical WoT entities,which can effectively improve the search efficiency.