Method and system for searching for Internet of Things information based on two layers of DHTs

Abstract

The invention relates to a method and system for searching for Internet of Things information based on two layers of DHTs. A label analysis and cracking service can be provided. The method comprises the steps that an information chain is built for all objects, only redirected information is stored in an upper-layer inter-domain enquiry service and points to the tail portion of the information chain, and the detailed information of all information chain nodes is stored in the intra-domain enquiry services of all the subareas of the lower layer respectively. The content local characteristic of information records and the route local characteristic of tracing inquiry can be guaranteed through the two layers of DHT structures. Meanwhile, multisource information records and mapping records can be really stored in a distribution mode, the self-government administration authority of all information providers cannot be violated, and inquiry time delay is lowered. In addition, two different analysis modes are disclosed and comprise a conventional analysis mode and a local-prior analysis mode. As is indicated by analysis, the conventional analysis mode is more suitable for locating inquiries and the local-prior analysis mode is more suitable for tracing inquiry.

Description

technical field [0001] The present invention relates to an information retrospective query method and system in the Internet of Things, in particular to a two-layer DHT (distributed hash table) based information retrospective query method and system for the Internet of Things, belonging to the field of Internet of Things information retrospective query. Background technique [0002] With the advent of the Internet of Things (IoT) era where "things-things" are connected, more and more resource objects are connected to the network to become smart objects. Cisco predicts that by 2020 there will be more than 50 billion smart devices connected to the Internet. The first prerequisite for connecting the physical world, the computing world, and human society to form a human-machine-object ternary collaborative society is to locate and track smart objects through unique identification, so as to achieve effective management and control. Among them, the location (track) is the query o...

AI Technical Summary

Problems solved by technology

[0009] 1) High query latency

[0010] 2) Can not really guarantee the multi-source information

[0011] 3) Poor scalability

However, the consistent hash algorithm does not consider the actual location of the nodes, resulting in the inconsistency between the logical topology of the P2P overlay network and the physical topology of the underlying

Images