Overload control method for Internet of things

Abstract

The invention discloses an overload control method for the Internet of things, which mainly aims to solve the problem that network congestion cannot be relieved when the proportion of low-priority traffic is low in a conventional downlink throttling method for the Internet of things. The method comprises that: a mobility management entity (MME) or a serving general packet radio service (GPRS) supporting node (SGSN) monitors a real-time load value of a network, and judges whether throttling is required or not; if the network is in a congested state, a serving gateway (SGW) starts performing throttling on the low-priority traffic, and simultaneously the MME or SGSN judges whether the network congestion can be relieved only by performing the throttling on the low-priority traffic or not according to a throttling effect; and if the network congestion cannot be relieved only by performing the throttling on the low-priority traffic, the SGW starts performing the throttling on normal-priority traffic, and quits a throttling state after throttling delay is finished. By the method, the applicability and efficiency of the conventional scheme are enhanced by expanding downlink throttled traffic, and the problems of function failures of the conventional scheme when the proportion of the low-priority traffic is low can be effectively solved.

Description

technical field [0001] The invention belongs to the field of the Internet of Things, and specifically relates to an overload control method of the Internet of Things to solve the problem of function failure of the existing Internet of Things downlink throttling method when the proportion of low-priority traffic is too low. Background technique [0002] The Internet of Things relies on the existing mobile communication network to complete the communication from things to things. However, the existing mobile communication network is optimized for the communication habits of people to people, and it is not an optimized network for communication from things to things. The thing-to-thing communication equipment in the Internet of Things is at least two orders of magnitude higher than the person-to-person communication equipment in the existing communication network, and, unlike the communication habits of person-to-person communication, the communication traffic of thing-to-thing ...

AI Technical Summary

Problems solved by technology

This method is only effective when the proportion of downlink low-priority traffic is high enough, refer to figure 1 , when the proportion of downstream low-priority traffic is too low, even if all low-priority traffic is throttled, due to the existence of normal priority traffic, low-priority traffic cannot be throttled to recover the network from congestion or overload , causing the network to remain in a congested or overloaded state

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