Research On Search Collaborative Technology For Massive Entities Of Internet Of Things

The development of the Internet of Things(Io T)prompts massive entities to access the network,giving it "wisdom",deepening the integration of physical space and information space,and at the same time,closely connecting people with things,things with things.However,the exponential growth of sensing devices in the Io T environment has generated massive amounts of information data,which poses a huge challenge to the organization,management,application and storage of existing information.At the same time,people's demand for the entity state information of the physical world is also increasing,which has greatly promoted the Io T search service application.Moreover,with the widespread deployment of sensing devices in the physical world,it is very likely that the same entity is within the observation range of multiple sensing devices.In the face of such "one-to-many" complex association scenarios,how to accurately search for entities required by users based on their status information,and how to specify entities to search for high-quality status information,have certain challenges.To this end,this thesis proposes research on search collaboration technologies for mass entities in the Internet of Things.First of all,this thesis expounds the research background and significance of the Io T search,and summarizes the concept,characteristics and research status of Io T search,and then analyzes the current research about Io T entity search collaborative technology.At the same time,this thesis carries on the thorough discussion about the research significance,then gives a deep research on how to realize the search collaboration research in two different search modes.(1)Aiming at helping users accurately search for entities,which is based on entity status information,a collaborative entity search method based on similarity estimation is proposed.The idea of similarity search is used to search the entity of observation content matching with the state information specified by the user,and the difference on observation content of the sensing device can effectively shield the misjudgment of decision caused by the same entity being within the observation range of multiple sensing devices,so as to realize the accurate search of the entity.(2)Aiming at the state information that the user searches for according to the specified entity,a collaborative mechanism for entity state information search with trajectory prediction is proposed,which is based on the prediction of mobile intelligent device movement trajectory to preliminarily screen the search task intelligent device that has the ability to perform out and then to evaluate the perceived quality of intelligent equipment,further screening high quality perception of intelligent device out to perform the search task.This collaborative mechanism is helpful to enhance the Io T entity search service quality and service experience.