A method for service classification access and object label location prediction of the Internet of Things

Abstract

The invention provides an Internet of things business classification access and object tag position prediction method. According to the method, business identification is performed by establishing a mixed business classification device and Internet of things business classification access is realized by using the mixed automatic response request mechanism, and the Internet of things business flow and object tag efficient management is realized by estimating a position according to the current mobile station at first, generating a position strength variable sequence, generating an accumulated position strength variable sequence, then selecting a vector sequence for each position strength, and finally predicating the arriving position.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to a wireless network. Background technique [0002] With the rapid development of the Internet of Things technology, the mobile station can reach the destination node through multiple paths. In order to realize the efficient monitoring and management of the mobile station, it is necessary to accurately predict the time when the mobile station reaches the destination node. [0003] At present, there are roughly two types of methods for accessing identification information of the Internet of Things: one is to realize priority by reserving channels, that is, to reserve a part of the total channels for real-time services, and the remaining channels shared by both businesses. For example, hybrid voice and data priority access based on time slot ALOHA reserved channel; reserved ALOHA policy supporting voice priority access and call access control of mobile communication network wi...

AI Technical Summary

Problems solved by technology

The first type of method will cause a waste of channel resources due to the reservation of channels for real-time services when the amount of non-real-time services is large but the real-time services are small. Even if the number of reserved channels can be changed, the algorithm It is also relatively complex and difficult to implement

The second type of methods mostly study single-channel or equivalent single-channel situations, but do not really study multi-channel situations; the method of setting thresholds based on estimation, due to the accuracy and complexity of its estimation algorithm, makes it difficult to practical application

[0004] To sum up: Since the existing wireless network access mechanism cannot meet the service flow access requirements of the Internet of Things, and it is difficult to find and predict the arrival location of the object label in time, it is necessary to design an efficient method. Realize efficient management of IoT business flow

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