Adaptive adjustment method of superframe length

Abstract

The invention provides an adaptive adjustment method of a superframe length, and relates to the field of electricity information acquisition. In the network operation process, the superframe length is changed, but in the actual operation, the number of wireless network nodes is constantly changing. The adaptive adjustment method of the superframe length comprises the following steps: dividing the network size of a mesh network into several grades, and determining an up-regulation threshold and a down-regulation threshold of each grade; counting the number of entrance nodes by a central node; judging whether the number of the entrance nodes of the central node exceeds an adjustment threshold of the grade, and if not, then ending, otherwise, going to the next step; updating broadcast beacon information by the central node; after receiving a new beacon by a child node, extracting information about superframe adjustment in the beacon, and meanwhile forwarding the beacon; and starting to run by all nodes according to the new superframe length at a first time slot of an initial change superframe number, and eliminating a change column information sign. The technical scheme of the invention divides the grades according to the size of the mesh network, thereby reducing the resource redundancy and improving the network efficiency.

Description

technical field [0001] The invention relates to the field of electricity consumption information collection, in particular to a superframe length self-adaptive adjustment method. Background technique [0002] In the power consumption information collector system of the power company, the concentrator can establish communication with the energy meter or collector through micro-power wireless mode, so as to remotely read the relevant data of the energy meter or collector. The independent CAC module (Cellular Access Center) on the concentrator acts as the central node of the micro-power wireless, and the electric energy meter or collector is the sub-node. The central node and the sub-nodes form a mesh network, and the nodes in the mesh network use In the way of time-frequency multiplexing, time is divided into N consecutive superframes (SF), each superframe is divided into M equal-length time frames (TF), and each time frame is divided into L equal-length time frames. Slot (TS...

AI Technical Summary

Problems solved by technology

Therefore, on the one hand, in a network with a large number of child nodes and a relatively large scale, the shorter superframes cannot carry more information, and the time slot resources allocated to each child node in each superframe time will also be reduced. , which cannot meet the actual requirements of the network; on the other hand, in a network with a relatively small number of child nodes and a relatively small scale, a superframe with a relatively long length will reduce network efficiency due to resource redundancy

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